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SPIRES-BOOKS: FIND KEYWORD BIOINFORMATICS *END*INIT* use /tmp/qspiwww.webspi1/9454.7 QRY 131.225.70.96 . find keyword bioinformatics ( in books using www Cover
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Call number:9783319458090:ONLINE Show nearby items on shelf
Title:Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry
Author(s):
Date:2017
Size:1 online resource (VIII, 295 p. 106 illus., 83 illus. in color p.)
Contents:Transformation, normalization and batch effect in the analysis of mass spectrometry data for omics studies -- Automated Alignment of Mass Spectrometry Data Using Functional Geometry -- The analysis of peptide-centric mass spectrometry
data utilizing information about the expected isotope distribution -- Probabilistic and likelihood-based methods for protein identification from MS/MS data -- An MCMC-MRF Algorithm for Incorporating Spatial Information in IMS Data
Processing -- Mass Spectrometry Analysis Using MALDIquant -- Model-based analysis of quantitative proteomics data with data independent acquisition mass spectrometry -- The analysis of human serum albumin proteoforms using
compositional framework -- Variability Assessment of Label-Free LC-MS Experiments for Difference Detection -- Statistical approach for biomarker discovery using label-free LC-MS data - an overview -- Bayesian posterior integration for
classification of mass spectrometry data -- Logistic regression modeling on mass spectrometry data in proteomics case-control discriminant studies -- Robust and confident predictor selection in metabolomics -- On the combination of
omics data for prediction of binary Outcomes -- Statistical analysis of lipidomics data in a case-control study
ISBN:9783319458090
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Statistics , Analytical chemistry , Mathematical statistics , Bioinformatics , Biostatistics , Metabolism , Statistics , Statistics for Life Sciences, Medicine, Health Sciences , Biostatistics , Metabolomics , Computational Biology/Bioinformatics , Analytical Chemistry , Probability and Statistics in Computer Science
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Call number:1848218125:ONLINE Show nearby items on shelf
Title:Metaheuristics for String Problems in Bio-informatics
Author(s): Blum
Date:2016
Publisher:Wiley-ISTE
Size:1 online resource (229 p.)
ISBN:9781848218123
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:1118906535:ONLINE Show nearby items on shelf
Title:Integrative Cluster Analysis in Bioinformatics
Author(s): Abu-Jamous
Date:2015
Size:1 online resource (449 p.)
ISBN:9781118906538
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:1118345789:ONLINE Show nearby items on shelf
Title:Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics
Author(s): Pan
Date:2013
Publisher:Wiley-IEEE Computer Society Pr
Size:1 online resource (537 p.)
ISBN:9781118345788
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:111800440X:ONLINE Show nearby items on shelf
Title:Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging
Author(s): Maji
Date:2012
Publisher:Wiley-IEEE Computer Society Pr
Size:1 online resource (313 p.)
ISBN:9781118004401
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:0471947539:ONLINE Show nearby items on shelf
Title:Statistical Advances in the Biomedical Sciences: Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics
Author(s): Biswas
Date:2007
Publisher:Wiley-Interscience
Size:1 online resource (583 p.)
ISBN:9780471947530
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:0471784095:ONLINE Show nearby items on shelf
Title:Grid Computing for Bioinformatics and Computational Biology
Author(s): Talbi
Date:2007
Publisher:Wiley-Interscience
Size:1 online resource (393 p.)
ISBN:9780471784098
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: General Computing
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Call number:047177796X:ONLINE Show nearby items on shelf
Title:Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications
Author(s): Hu
Date:2007
Publisher:Wiley-Interscience
Size:1 online resource (364 p.)
ISBN:9780471777960
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: General Computing
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Call number:0471718483:ONLINE Show nearby items on shelf
Title:Parallel Computing for Bioinformatics and Computational Biology, Online Version
Author(s): Zomaya
Date:2006
Publisher:Wiley-Interscience
Size:1 online resource (817 p.)
ISBN:9780471718482
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: General Computing
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Call number:0470848391:ONLINE Show nearby items on shelf
Title:Protein Bioinformatics - An Algorithmic Approachto Sequence and Structure Analysis
Author(s): Eidhammer
Date:2004
Publisher:Wiley
Size:1 online resource (381 p.)
ISBN:9780470848395
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:0470748311:ONLINE Show nearby items on shelf
Title:Knowledge-Based Bioinformatics - From Analysis to Interpretation
Author(s): Alterovitz
Date:2010
Publisher:Wiley
Size:1 online resource (397 p.)
ISBN:9780470748312
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Statistics
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Call number:0470404434:ONLINE Show nearby items on shelf
Title:Mathematics of Bioinformatics: Theory, Practice, and Applications
Author(s): He
Date:2010
Publisher:Wiley-Interscience
Size:1 online resource (299 p.)
ISBN:9780470404430
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:0470105267:ONLINE Show nearby items on shelf
Title:Computational Intelligence in Bioinformatics
Author(s): Fogel
Date:2007
Publisher:Wiley-IEEE Press
Size:1 online resource (356 p.)
ISBN:9780470105269
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:0470097736:ONLINE Show nearby items on shelf
Title:Bioinformatics Algorithms: Techniques and Applications
Author(s): Mandoiu
Date:2008
Publisher:Wiley-Interscience
Size:1 online resource (501 p.)
ISBN:9780470097731
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:SPRINGER-2016-9783658132347:ONLINE Show nearby items on shelf
Title:Analysis of Single-Cell Data ODE Constrained Mixture Modeling and Approximate Bayesian Computation
Author(s): Carolin Loos
Date:2016
Edition:1st ed. 2016
Size:1 online resource (92 p.)
Note:10.1007/978-3-658-13234-7
Contents:Modeling and Parameter Estimation for Single-Cell Data -- ODE Constrained Mixture Modeling for Multivariate Data -- Approximate Bayesian Computation Using Multivariate Statistics
ISBN:9783658132347
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Bioinformatics , Computational biology , Computer mathematics , Biomathematics , Mathematics , Mathematical and Computational Biology , Computational Mathematics and Numerical Analysis , Computer Appl. in Life Sciences
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Call number:SPRINGER-2016-9783319412139:ONLINE Show nearby items on shelf
Title:The Statistical Physics of Fixation and Equilibration in Individual-Based Models
Author(s): Peter Ashcroft
Date:2016
Size:1 online resource (13 p.)
Note:10.1007/978-3-319-41213-9
Contents:Introduction -- Technical Background -- Finite Populations in Switching Environments -- Fixation Time Distribution -- Metastable States in Cancer Initiation -- The WKB Method: A User-guide -- Conclusions
ISBN:9783319412139
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Cancer research , Bioinformatics , Game theory , Probabilities , Biomathematics , Sociophysics , Econophysics , Physics , Socio- and Econophysics, Population and Evolutionary Models , Mathematical and Computational Biology , Bioinformatics , Probability Theory and Stochastic Processes , Game Theory, Economics, Social and Behav. Sciences , Cancer Research
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Call number:SPRINGER-2016-9783319288932:ONLINE Show nearby items on shelf
Title:Data-driven Modelling of Structured Populations A Practical Guide to the Integral Projection Model
Author(s): Stephen P Ellner
Date:2016
Size:1 online resource (29 p.)
Note:10.1007/978-3-319-28893-2
Contents:Introduction -- Simple Deterministic IPM -- Basic Analysis 1: Demographic Measures and Events in the Life Cycle -- Basic Analysis 2: Prospective Perturbation Analysis -- Density Dependence -- General Deterministic IPM -- Environmental Stochasticity -- Spatial Models -- Evolutionary Demography -- Future Directions and Advanced Topics
ISBN:9783319288932
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Bioinformatics , Computational biology , Biomathematics , Mathematics , Mathematical and Computational Biology , Computer Appl. in Life Sciences
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Call number:SPRINGER-2016-9783319285887:ONLINE Show nearby items on shelf
Title:Computational Diffusion MRI MICCAI Workshop, Munich, Germany, October 9th, 2015
Author(s):
Date:2016
Size:1 online resource (63 p.)
Note:10.1007/978-3-319-28588-7
Contents:An Efficient Finite Element Solution of the Generalised Bloch-Torrey Equation for Arbitrary Domains: L. Beltrachini et al -- Super-Resolution Reconstruction of Diffusion-Weighted Images using 4D Low-Rank and Total Variation: Feng Shi et al -- Holist ic Image Reconstruction for Diffusion MRI: V. Golkov et al -- Alzheimer’s Disease Classification with Novel Microstructural Metrics from Diffusion-Weighted MRI: T. M. Nir et al -- Brain Tissue Micro-Structure Imaging from Diffusion MRI Using Least Squar es Variable Separation: H. Farooq et al -- Multi-Tensor MAPMRI: How to Estimate Microstructural Information from Crossing Fibers: M. Zucchelli et al -- On the Use of Antipodal Optimal Dimensionality Sampling Scheme on the Sphere for Recovering Intra-Voxel Fibre Structure in Diffusion MRI: A.P. Bates et al -- Estimation of Fiber Orientations Using Neighborhood Information: C. Ye et al -- A framework for creating population specific multimodal brain atlas using clinical T1 and diffusion tensor
images: V. Gupta et al -- Alignment of Tractograms as Linear Assignment Problem: N. Sharmin -- Accelerating Global Tractography Using Parallel Markov Chain Monte Carlo: H. Wu et al -- Adaptive Enhancement in Diffusion MRI Through Propagator Sharpeni ng: T. Dela Haije et al -- Angular Resolution Enhancement of Diffusion MRI Data Using Inter-Image Information Transfer: Geng Chen et al -- Crossing versus Fanning: Model Comparison Using HCP Data: A. Ghosh et al -- White Matter Fiber Set Simplification by Redundancy Reduction with Minimum Anatomical Information Loss: G. Zimmerman Moreno et al -- A Temperature Phantom to Probe the Ensemble Average Propagator Asymmetry: an In-Silico Study: M. Pizzolato et al -- Registration Strategies for Whole-Body Diffusi on-Weighted MRI Stitching: J. Ceranka et al -- HARDI Feature Selection, Registration and Atlas Building for A$\beta$ Pathology Classification: E. Schwab et al -- Reliability of Structural Connectivity Examined with Four Different Diffusion
Reconstruction Methods at Two Different Spatial and Angular Resolutions: J. E. Villalon-Reina et al
ISBN:9783319285887
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer simulation , Image processing , Bioinformatics , Computer mathematics , Visualization , Statistics , Mathematics , Visualization , Computational Biology/Bioinformatics , Computational Science and Engineering , Simulation and Modeling , Image Processing and Computer Vision , Statistics for Life Sciences, Medicine, Health Sciences
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Call number:SPRINGER-2016-9783319270999:ONLINE Show nearby items on shelf
Title:Statistical Analysis for High-Dimensional Data The Abel Symposium 2014
Author(s):
Date:2016
Edition:1st ed. 2016
Size:1 online resource (19 p.)
Note:10.1007/978-3-319-27099-9
Contents:Some Themes in High-Dimensional Statistics: A. Frigessi et al -- Laplace Appoximation in High-Dimensional Bayesian Regression: R. Barber, M. Drton et al -- Preselection in Lasso-Type Analysis for Ultra-High Dimensional Genomic Exploration: L.C. Berg ersen, I. Glad et al -- Spectral Clustering and Block Models: a Review and a new Algorithm: S. Bhattacharyya et al -- Bayesian Hierarchical Mixture Models: L. Bottelo et al -- iBATCGH Integrative Bayesian Analysis of Transcriptomic and CGH Data: Cassese, M. Vannucci et al -- Models of Random Sparse Eigenmatrices and Bayesian Analysis of Multivariate Structure: A.J. Cron, M. West -- Combining Single and Paired End RNA-seq Data for Differential Expression Analysis: F. Feng, T.Speed et al -- An Imputation Me thod for Estimation the Learning Curve in Classification Problems: E. Laber et al -- Baysian Feature Allocation Models for Tumor Heterogeneity: J. Lee, P. Mueller et al -- Bayesian Penalty Mixing: The Case of a Non-Separable Penalty: V.
Rockova et al -- Confidence Intervals for Maximin Effects in Inhomogeneous Large Scale Data: D. Rothenhausler et al -- Chisquare Confidence Sets in High-Dimensional Regression: S. van de Geer et al.
ISBN:9783319270999
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Abel Symposia: 11
Keywords: Mathematics , Bioinformatics , Computer mathematics , Statistics , Mathematics , Computational Mathematics and Numerical Analysis , Statistical Theory and Methods , Bioinformatics , Statistics and Computing/Statistics Programs , Statistics for Life Sciences, Medicine, Health Sciences , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien
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Call number:SPRINGER-2016-9783319246338:ONLINE Show nearby items on shelf
Title:High Performance Computing in Science and Engineering ´15 Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2015
Author(s):
Date:2016
Edition:1st ed. 2016
Size:1 online resource (71 p.)
Note:10.1007/978-3-319-24633-8
Contents:Preface -- Part I: Physics -- Part II: Molecules, Surfaces, and Solids -- Part III: Bioinformatics -- Part IV: Reacting Flows -- Part V: Computational Fluid Dynamics.- Part VI: Transport and Climate -- Part VII: Miscellaneous Topics
ISBN:9783319246338
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Chemistry, Physical and theoretical , Computer mathematics , Physics , Applied mathematics , Engineering mathematics , Mathematics , Computational Science and Engineering , Theoretical, Mathematical and Computational Physics , Appl.Mathematics/Computational Methods of Engineering , Theoretical and Computational Chemistry
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Call number:SPRINGER-2016-9783319244488:ONLINE Show nearby items on shelf
Title:Physical Models of Cell Motility
Author(s):
Date:2016
Edition:1st ed. 2016
Size:1 online resource (9 p.)
Note:10.1007/978-3-319-24448-8
Contents:Introduction -- Phase-field Description of Cell Movement -- Role of Substrate Adhesiveness -- Cytoskeletal Waves -- Chemical Signaling -- Efficiency of Cell Motion
ISBN:9783319244488
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Bioinformatics , Computational biology , Biomathematics , Biophysics , Biological physics , Biomedical engineering , Physics , Biophysics and Biological Physics , Biomedical Engineering , Computer Appl. in Life Sciences , Numerical and Computational Physics , Physiological, Cellular and Medical Topics
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Call number:SPRINGER-2014-9783642538391:ONLINE Show nearby items on shelf
Title:Membrane Transport Mechanism [electronic resource] : 3D Structure and Beyond
Author(s): Reinhard Krmer
Christine Ziegler
Date:2014
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:This book provides a molecular view of membrane transport by means of numerous biochemical and biophysical techniques. The rapidly growing number of atomic structures of transporters in different conformations and the constantprogress in bioinformati cs have recently added deeper insights. The unifying mechanism of energized solute transport across membranes is assumed to consist of the conformational cycling of a carrier protein to provide access tosubstrate binding sites from either side of a cellu lar membrane. Due to the central role of active membrane transport there is considerable interest in deciphering the principles of one of the most fundamental processes in nature: thealternating access mechanism. This book brings together particularly si gnificant structure-function studies on a variety of carrier systems from different transporter families: Glutamate symporters, LeuT-like fold transporters, MFStransporters and SMR (RND) exporters, as well as ABC-type importers. The selected examples imp ressively demonstrate how the combination of functional analysis, crystallography, investigation of dynamics and computational studies hasmade it possible to create a conclusive picture, or, more precisely, a molecular movie. Although we are still far fro m a complete molecular description of the alternating access mechanism, remarkable progress has been made fromstatic snapshots towards membrane transport dynamics
Contents:Dance Lessons for Proteins: The Dynamics and Thermodynamics of a Sodium/Aspartate Symporter
Characterizing the Structure, Function and Evolution of Human Solute Carrier (SLC) Transporters Using Computational Approaches
Structures of the Prokaryotic Galactose Transporter vSGLT and Their Implications on Alternating Access Mechanism in Human SGLT1
Moving Crystallographic Snapshots: A Mechanism for Transport Regulation in BetP
Development of Refined Homology Models: Adding the Missing Information to the Medically Relevant Neurotransmitter Transporters
The Life and Times of Lac Perme
ISBN:9783642538391
Series:eBooks
Series:SpringerLink
Series:Springer Series in Biophysics, 0932-2353 : v17
Series:Physics and Astronomy (Springer-11651)
Keywords: Life sciences , Bioinformatics , Biochemistry , Cell membranes , Crystallography
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Call number:SPRINGER-2014-9783319072128:ONLINE Show nearby items on shelf
Title:Statistical Analysis of Next Generation Sequencing Data [electronic resource]
Author(s): Somnath Datta
Dan Nettleton
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that surrounds us today. Toextract signals from high-d imensional NGS data and make valid statistical inferences and predictions, novel data analytic and statistical techniques are needed. This book contains 20 chapters written by prominent statisticians workingwith NGS data. The topics range from basic prepr ocessing and analysis with NGS data to more complex genomic applications such as copy number variation and isoform expression detection. Research statisticians who want to learn aboutthis growing and exciting area will find this book useful. In addition, many chapters from this book could be included in graduate-level classes in statistical bioinformatics for training future biostatisticians who will be expected todeal with genomic data in basic biomedical research, genomic clinical trials and personalize d medicine. About the editors: Somnath Datta is Professor and Vice Chair of Bioinformatics and Biostatistics at the University of Louisville.He is Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics, and Elec ted Member of the International Statistical Institute. He has contributed to numerous research areas in Statistics,Biostatistics and Bioinformatics. Dan Nettleton is Professor and Laurence H. Baker Endowed Chair of Biological Statistics in the Department of Statistics at Iowa State University. He is Fellow of the American Statistical Associationand has published research on a variety of topics in statistics, biology, and bioinformatics
Contents:Statistical Analyses of Next Generation Sequencing Data: An Overview
Using RNA
seq Data to Detect Differentially Expressed Genes
Differential Expression Analysis of Complex RNA
seq Experiments Using edgeR
Analysis of Next Generation Sequencing Data Using Integrated Nested Laplace Approximation (INLA)
Design of RNA Sequencing Experiments
Measurement, Summary, and Methodological Variation in RNA
sequencing
Functional PCA for differential expression testing with RNA
seq data
Mapping of Expression Quantitative Trait Loci using RNA
seq Data
The Role of Spike
In Standards in
ISBN:9783319072128
Series:eBooks
Series:SpringerLink
Series:Frontiers in Probability and the Statistical Sciences
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Oncology , Human genetics
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Call number:SPRINGER-2014-9783319045795:ONLINE Show nearby items on shelf
Title:Statistical Modelling in Biostatistics and Bioinformatics [electronic resource] : Selected Papers
Author(s): Gilbert MacKenzie
Defen Peng
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book presents selected papers on statistical model development related mainly to the fields of Biostatistics and Bioinformatics. The coverage of the material falls squarely into the following categories: (a) Survival analysisand multivariate sur vival analysis, (b) Time series and longitudinal data analysis, (c) Statistical model development and (d) Applied statistical modelling. Innovations in statistical modelling are presented throughout each of the fourareas, with some intriguing new ideas on hierarchical generalized non-linear models and on frailty models with structural dispersion, just to mention two examples. The contributors include distinguished international statisticians suchas Philip Hougaard, John Hinde, Il Do Ha, Roger Payne and Al essandra Durio, among others, as well as promising newcomers. Some of the contributions have come from researchers working in the BIO-SI research programme on Biostatisticsand Bioinformatics, centred on the Universities of Limerick and Galway in Ireland a nd funded by the Science Foundation Ireland under its Mathematics Initiative
Contents:Preface
An Appreciation
John Nelder, FRS
Introduction
Survival Modelling: Hougaard
Multivariate Interval
Censored Survival Data: Parametric, Semi
Parametric and Non
Parametric Models MacKenzie and Ha
Multivariate Survival Models Based on the GTDL Lynch and MacKenzie
Frailty Models with Structural Dispersion Martinez and Hinde
Random Effects Ordinal Time Models for Grouped Toxicological Data from a Biological Control Assay
Longitudinal Modelling & Time Series: Haywood and Randal
Modelling Seasonality and Structural Breaks: Visitors to NZ and 9/11 Allais and Bosco
F
ISBN:9783319045795
Series:eBooks
Series:SpringerLink
Series:Contributions to Statistics, 1431-1968
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Bioinformatics , Statistical methods , Mathematical statistics
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Call number:SPRINGER-2014-9783319015958:ONLINE Show nearby items on shelf
Title:Data Analysis, Machine Learning and Knowledge Discovery [electronic resource]
Author(s): Myra Spiliopoulou
Lars Schmidt-Thieme
Ruth Janning
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be appliedto a vast set of app lications such as web and text mining, marketing, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning andknowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012
Contents:AREA Statistics and Data Analysis: Classifcation, Cluster Analysis, Factor Analysis and Model Selection
AREA Machine Learning and Knowledge Discovery: Clustering, Classifiers, Streams and Social Networks
AREA Data Analysis and Classification in Marketing
AREA Data Analysis in Finance
AREA Data Analysis in Biostatistics and Bioinformatics
AREA Interdisciplinary Domains: Data Analysis in Music, Education and Psychology
LIS Workshop: Workshop on Classification and Subject Indexing in Library and Information Science
ISBN:9783319015958
Series:eBooks
Series:SpringerLink
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Statistical methods , Mathematical statistics , Marketing , Philosophy (General)
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Call number:SPRINGER-2014-9783319007441:ONLINE Show nearby items on shelf
Title:Mathematical Modelling of the Cell Cycle Stress Response [electronic resource]
Author(s): Elahe Radmaneshfar
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:The cell cycle is a sequence of biochemical events that are controlled by complex but robust molecular machinery. This enables cells to achieve accurate self-reproduction under a broad range of conditions. Environmental changesare transmitted by mole cular signaling networks, which coordinate their actions with the cell cycle. Thiswork presents the first description oftwo complementary computational modelsdescribing the influence of osmotic stress onthe entire cell cycle of S. cerevisiae. Our models condense a vast amount of experimental evidence on the interaction of the cell cycle network components with the osmotic stress pathway. Importantly, it is only by considering theentire cell cycle that we are able to make a series of novel predictions whi ch emerge from the coupling between the molecular components of different cell cycle phases. The model-based predictions are supported by experiments in S.cerevisiae and, moreover, have recently been observed in other eukaryotes. Furthermore our models r eveal the mechanisms that emerge as a result of the interaction between the cell cycle and stress response networks
Contents:A biological overview of the cell cycle and its response to osmotic stress and the
factor
ODE model of the cell cycle response to osmotic stress
Boolean model of the cell cycle response to stress
Conclusion
List of equations, parameters and initial conditions
Effect of methods of update on existence of fixed points
ISBN:9783319007441
Series:eBooks
Series:SpringerLink
Series:Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5053
Series:Physics and Astronomy (Springer-11651)
Keywords: Bioinformatics , Cell cycle , Physiology Mathematics
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Call number:SPRINGER-2014-9781461495215:ONLINE Show nearby items on shelf
Title:Computational Methods for Three-Dimensional Microscopy Reconstruction [electronic resource]
Author(s): Gabor T Herman
Joachim Frank
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Birkhuser
Size:1 online resource
Note:Approaches to the recovery of three-dimensional information on a biological object, which are often formulated or implemented initially in an intuitive way, are concisely described here based on physical models of the object andthe image-formation pr ocess. Both three-dimensional electron microscopy and X-ray tomography can be captured in the same mathematical framework, leading to closely-related computational approaches, but the methodologies differ indetail and hence pose different challenges. The editors of this volume, Gabor T. Herman and Joachim Frank, are experts in the respective methodologies and present research at the forefront of biological imaging and structural biology. Computational Methods for Three-Dimensional Microscopy Reconstructio n will serve as a useful resource for scholars interested in the development of computational methods for structural biology and cell biology, particularly in thearea of 3D imaging and modeling
Contents:1 Introduction
2 Interchanging geometry conventions in 3DEM: Mathematical context for the development of standards
3 Fully automated particle selection and verification in single
particle cryo
EM
4 Quantitative analysis in iterative classification schemes for cryo
EM applications
5 High
resolution cryo
EM structure of the Trypanosoma brucei ribosome of a case study
6 Computational methods for electron tomography of influenza virus
7 Reconstruction from microscopic projections with defocus
gradient and attenuation effects
8 Soft X
ray tomography imaging for biological sampl
ISBN:9781461495215
Series:eBooks
Series:SpringerLink
Series:Applied and Numerical Harmonic Analysis, 2296-5009
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Bioinformatics , Physiology Mathematics , Visualization , Cell aggregation Mathematics
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Call number:SPRINGER-2014-9781461494430:ONLINE Show nearby items on shelf
Title:Design, Analysis, and Interpretation of Genome-Wide Association Scans [electronic resource]
Author(s): Daniel O Stram
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:This book presents the statistical aspects of designing, analyzing and interpreting the results of genome-wide association scans (GWAS studies) for genetic causes of disease using unrelated subjects. Particular detail is given tothe practical aspects of employing the bioinformatics and data handling methods necessary to prepare data for statistical analysis. The goal in writing this book is to give statisticians, epidemiologists, and students in these fieldsthe tools to design a powerful genome-wide study based on current technology. The other part of this is showing readers how to conduct analysis of the created study. Design and Analysis of Genome-Wide Association Studies provides acompendium of well-established statistical methods based upon singl e SNP associations. It also provides an introduction to more advanced statistical methods and issues. Knowing that technology, for instance large scale SNP arrays, isquickly changing, this text has significant lessons for future use with sequencing data. Emphasis on statistical concepts that apply to the problem of finding disease associations irrespective of the technology ensures its futureapplications. The author includes current bioinformatics tools while outlining the tools that will be required for use with extensive databases from future large scale sequencing projects. The author includes current bioinformaticstools while outlining additional issues and needs arising from the extensive databases from future large scale sequencing projects
Contents:Introduction to Genome
Wide Association Studies
Topics of Quantitative Genetics
An Introduction to Association Studies
Correcting for Hidden Population Structure in Single Marker Association Testing and Estimation
Haplotype Imputation for Association Analysis
SNP Imputation for Association Studies
Design of Large
scale Genetic Association Studies, Sample Size and Power
Post
GWAS Analyses
ISBN:9781461494430
Series:eBooks
Series:SpringerLink
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Human genetics , Mathematical statistics
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Call number:SPRINGER-2013-9783642343339:ONLINE Show nearby items on shelf
Title:Regression [electronic resource] : Models, Methods and Applications
Author(s): Ludwig Fahrmeir
Thomas Kneib
Stefan Lang
Brian Marx
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presentedon a solid formal bas is, and their appropriate application is shown through many real data examples and case studies. Availability of (user-friendly) software has been a major criterion for the methods selected and presented. Thus, thebook primarily targets an audience that i ncludes students, teachers and practitioners in social, economic, and life sciences, as well as students and teachers in statistics programs, and mathematicians and computer scientists withinterests in statistical modeling and data analysis. It is written on an intermediate mathematical level and assumes only knowledge of basic probability, calculus, and statistics. The most important definitions and statements areconcisely summarized in boxes. Two appendices describe required matrix algebra, as well as e lements of probability calculus and statistical inference
Note:Springer eBooks
Contents:Introduction
Regression Models
The Classical Linear Model
Extensions of the Classical Linear Model
Generalized Linear Models
Categorical Regression Models
Mixed Models
Nonparametric Regression
Structured Additive Regression
Quantile Regression
A Matrix Algebra
B Probability Calculus and Statistical Inference
Bibliography
Index
ISBN:9783642343339
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology , Bioinformatics , Statistical methods , Mathematical statistics , Economics Statistics , Econometrics
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Call number:SPRINGER-2013-9783642309045:ONLINE Show nearby items on shelf
Title:Advances in Network Analysis and its Applications [electronic resource]
Author(s): Evangelos Kranakis
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:As well as highlighting potentially useful applications for network analysis, this volume identifies new targets for mathematical research that promise to provide insights into network systems theory as well as facilitating thecross-fertilization of ideas between sectors. Focusing on financial, security and social aspects of networking, the volume adds to the growing body of evidence showing that network analysis has applications to transportation,communication, health, finance, and social policy mor e broadly. It provides powerful models for understanding the behavior of complex systems that, in turn, will impact numerous cutting-edge sectors in science and engineering, such aswireless communication, network security, distributed computing and social networking, financial analysis, and cyber warfare. The volume offers an insider' s view of cutting-edge research in network systems, including methodologieswith immense potential for interdisciplinary application. The contributors have all presented mate rial at a series of workshops organized on behalf of Canadas MITACS initiative, which funds projects and study grants inmathematics for information technology and complex systems. These proceedings include papers from workshops on financial networks, netw ork security and cryptography, and social networks. MITACS has shown that the partlyghettoized nature of network systems research has led to duplicated work in discrete fields, and thus this initiative has the potential to save time and accelerate the pac e of research in a number of areas of network systemsresearch
Note:Springer eBooks
Contents:FINANCIAL NETWORKS: 1. Mathematical modeling of systemic risk: H. Amini, A. Minca
2. Systemic risk in banking networks without Monte Carlo simulation: J. P. Gleeson, T. R. Hurd, S. Melnik, A. Hackett
3. Systemic Valuation of Banks Interbank Equilibrium and Contagion: G. Haaj
4. An Open Problem: J. B. Walsh
II SECURITY NETWORKS: 5. Dynamic Trust Management: Network Profiling for High Assurance Resilience: M. Burmester , W. O. Redwood
6. Security Issues in Link State Routing Protocols for MANETs: G.Cervera, M.Barbeau, J. Garcia
Alfaro, E.Kranakis
7. TCHo: a Code
bas
ISBN:9783642309045
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics in Industry, 1612-3956 : v18
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer Communication Networks , Bioinformatics , Computer engineering , Industrial organization (Economic theory)
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Call number:SPRINGER-2013-9783319000350:ONLINE Show nearby items on shelf
Title:Algorithms from and for Nature and Life [electronic resource] : Classification and Data Analysis
Author(s): Berthold Lausen
Dirk Van den Poel
Alfred Ultsch
Date:2013
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. Inaddition to theory-o riented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicologydescribe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl),the German Association for PatternRecognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011
Note:Springer eBooks
Contents:Invited
Clustering and Unsupervised Learning
Statistical Data Analysis, Visualization and Scaling
Bioinformatics and Biostatistics
Archaeology and Geography, Psychology and Educational Sciences
Text Mining, Social Networks and Clustering
Banking and Finance
Marketing and Management
Music Classification Workshop
ISBN:9783319000350
Series:e-books
Series:SpringerLink (Online service)
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Social sciences Data processing , Mathematical statistics , Economics Statistics , Operations research
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Call number:SPRINGER-2013-9781461480020:ONLINE Show nearby items on shelf
Title:Cell Formation in Industrial Engineering [electronic resource] : Theory, Algorithms and Experiments
Author(s): Boris Goldengorin
Dmitry Krushinsky
Panos M Pardalos
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book focuses on a development of optimal, flexible, and efficient models and algorithms for cell formation in group technology. Its main aim is to provide a reliable tool that can be used by managers and engineers to designmanufacturing cells ba sed on their own preferences and constraints imposed by a particular manufacturing system. This tool could potentially lower production costs by minimizing other costs in a number of areas, thereby increasingprofit in a manufacturing system. In the volume , the cell formation problem is considered in a systematic and formalized way, and several models are proposed, both heuristic and exact. The models are based on general clusteringproblems, and are flexible enough to allow for various objectives and const raints. The authors also provide results of numerical experiments involving both artificial data from academic papers in the field and real manufacturing datato certify the appropriateness of the models proposed. The book was intended to suit the broadest possible audience, and thus all algorithmic details are given in a detailed description with multiple numerical examples and informalexplanations are provided for the theoretical results. In addition to managers and industrial engineers, this book is int ended for academic researchers and students. It will also be attractive to many theoreticians, since it addressesmany open problems in computer science and bioinformatics
Note:Springer eBooks
Contents:1. The problem of cell formation
2. The p
Median problem
3. Application of the PMP to cell formation in group technology
4. The minimum multicut problem and an exact model for cell formation
5. Multiobjective nature of cell formation
6. Pattern
based heuristic for the cell formation problem in group technology
7. Branch
and
bound algorithm for bi
criterion cell formation problems
8. Summary and conclusions
A. Solutions to the 35 CF instances from [71]
Index
References
ISBN:9781461480020
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v79
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science
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Call number:SPRINGER-2012-9783642272257:ONLINE Show nearby items on shelf
Title:Bayesian Methods in Structural Bioinformatics [electronic resource]
Author(s): Thomas Hamelryck
Kanti Mardia
Jesper Ferkinghoff-Borg
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book is an edited volume, the goal of which is to provide an overview of the current state-of-the-art in statistical methods applied to problems in structural bioinformatics (and in particular protein structure prediction,simulation, experimenta l structure determination and analysis). It focuses on statistical methods that have a clear interpretation in the framework of statistical physics, rather than ad hoc, black box methods based on neural networksor support vector machines. In addition, the emphasis is on methods that deal with biomolecular structure in atomic detail. The book is highly accessible, and only assumes background knowledge on protein structure, with a minimum ofmathematical knowledge. Therefore, the book includes introductory c hapters that contain a solid introduction to key topics such as Bayesian statistics and concepts in machine learning and statistical physics
Note:Springer eBooks
Contents:Part I Foundations: An Overview of Bayesian Inference and Graphical Models
Monte Carlo Methods for Inferences in High
dimensional Systems
Part II Energy Functions for Protein Structure Prediction: On the Physical Relevance and Statistical Interpretation of Knowledge based Potentials
Statistical Machine Learning of Protein Energetics from Experimentally Observed Structures
A Statistical View on the Reference Ratio Method
Part III Directional Statistics and Shape Theory: Statistical Modelling and Simulation Using the Fisher
Bingham Distribution
Statistics of Bivariate von Mises
ISBN:9783642272257
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Medicine , Bioinformatics
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Call number:SPRINGER-2012-9783642215513:ONLINE Show nearby items on shelf
Title:Handbook of Computational Statistics [electronic resource] : Concepts and Methods
Author(s): James E Gentle
Wolfgang Karl Hrdle
Yuichi Mori
Date:2012
Edition:2nd ed. 2012. revised and updated
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well asthree new chapters add ressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with How Computational Statistics became the backbone ofmodern data science (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current activeresearch. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies fortransformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulationand visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medi cal Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computationalstatistics in real-world applications
Note:Springer eBooks
Contents:Part I Computational Statistics
Part II Statistical Computing
Part III Statistical Methodology
Part IV Selected Applications
ISBN:9783642215513
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Handbooks of Computational Statistics
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2012-9781461421450:ONLINE Show nearby items on shelf
Title:Computational Modeling of Biological Systems [electronic resource]
Author(s): Nikolay V Dokholyan
Date:2012
Publisher:Springer US
Size:1 online resource
Note:Monograph
Note:Springer 2012 Physics and Astronomy eBook collection
Note:Springer e-book platform
ISBN:9781461421450
Series:Biological and Medical Physics, Biomedical Engineering
Series:e-books
Keywords: Biophysics and Biological Physics , Molecular Medicine , Mathematical and Computational Biology , Computational Biology/Bioinformatics
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Call number:SPRINGER-2012-9781461417439:ONLINE Show nearby items on shelf
Title:Analysis of Phylogenetics and Evolution with R [electronic resource]
Author(s): Emmanuel Paradis
Date:2012
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The increasing availability of molecular and genetic databases coupled with the growing power of computers gives biologists opportunities to address new issues, such as the patterns of molecular evolution, and re-assess old ones,such as the role of a daptation in species diversification. In the second edition, the book continues to integrate a wide variety of data analysis methods into a single and flexible interface: the R language. This open source languageis available for a wide range of computer s ystems and has been adopted as a computational environment by many authors of statistical software. Adopting R as a main tool for phylogenetic analyses will ease the workflow in biologists'data analyses, ensure greater scientific repeatability, and enhanc e the exchange of ideas and methodological developments. The second edition is completely updated, covering the full gamut of R packages for this area that have beenintroduced to the market since its previous publication five years ago. There is also a ne w chapter on the simulation of evolutionary data. Graduate students and researchers in evolutionary biology can use this book as areference for data analyses, whereas researchers in bioinformatics interested in evolutionary analyses will learn how to impl ement these methods in R. The book starts with a presentation of different R packages and gives a shortintroduction to R for phylogeneticists unfamiliar with this language. The basic phylogenetic topics are covered: manipulation of phylogenetic data, phyl ogeny estimation, tree drawing, phylogenetic comparative methods, and estimation ofancestral characters. The chapter on tree drawing uses R's powerful graphical environment. A section deals with the analysis of diversification with phylogenies, one of the author's favorite research topics. The last chapter is devotedto the development of phylogenetic methods with R and interfaces with other languages (C and C++). Some exercises conclude these chap
Note:Springer eBooks
Contents:Introduction
First Steps in R for Phylogeneticists
Phylogenetic Data in R
Plotting Phylogenies
Phylogeny Estimation
Analysis of Macroevolution with Phylogenies
Simulating Phylogenies and Evolutionary Data
Developing and Implementing Phylogenetic Methods in R
Short Course on Regular Expressions
ISBN:9781461417439
Series:e-books
Series:SpringerLink (Online service)
Series:Use R!
Series:Mathematics and Statistics (Springer-11649)
Keywords: Life sciences , Bioinformatics , Evolution (Biology) , Statistics
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Call number:SPRINGER-2011-9789400701717:ONLINE Show nearby items on shelf
Title:Mathematical Foundations of Quantum Information and Computation and Its Applications to Nano- and Bio-systems [electronic resource]
Author(s): Masanori Ohya
I Volovich
Date:2011
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This monograph provides a mathematical foundation to the theory of quantum information and computation, with applications to various open systems including nano and bio systems. It includes introductory material on algorithm,functional analysis, prob ability theory, information theory, quantum mechanics and quantum field theory. Apart from standard material on quantum information like quantum algorithm and teleportation, the authors discuss findings on thetheory of entropy in C*-dynamical systems, spa ce-time dependence of quantum entangled states, entangling operators, adaptive dynamics, relativistic quantum information, and a new paradigm for quantum computation beyond the usualquantum Turing machine. Also, some important applications of information theory to genetics and life sciences, as well as recent experimental and theoretical discoveries in quantum photosynthesis are described
Note:Springer eBooks
Contents:1 Introduction
2 Algorithms and Computation
3 Basics of Classical Probability
4 Basics of Infinite Dimensional Analysis
5 Basics of Quantum Mechanics
6 Fundamentals of Classical Information Theory
7 Fundamentals of Quantum Information
8 Locality and Entanglement
9 Quantum Capacity and Coding
10 Information Dynamics and Adaptive Dynamics
11 Mathematical Models of Quantum Computer
12 Quantum Algorithms I
13 Quantum Algorithms II
14 Quantum Algorithms III
15 Quantum Error Correction
16 Quantum Field Theory
Locality and Entanglement
17 Quantum Cry
ISBN:9789400701717
Series:e-books
Series:SpringerLink (Online service)
Series:Theoretical and Mathematical Physics, 1864-5879
Series:Physics and Astronomy (Springer-11651)
Keywords: Bioinformatics , Mathematics , Quantum theory
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Call number:SPRINGER-2011-9783642178412:ONLINE Show nearby items on shelf
Title:Chemometrics with R [electronic resource] : Multivariate Data Analysis in the Natural Sciences and Life Sciences
Author(s): Ron Wehrens
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Chemometrics with R offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a complete description of the general data analysis paradigm, from exploratory analysis tomodeling to validation. Se veral more specific topics from the area of chemometrics are included in a special section. The corresponding R code is provided for all the examples in the book scripts, functions and data are available in aseparate, publicly available R package. For res earchers working in the life sciences, the book can also serve as an easy-to-use primer on R
Note:Springer eBooks
Contents:Introduction
Part I Preliminaries: Data
Preprocessing
Part II Exploratory Analysis: Principal Component Analysis
Self
Organizing Maps
Clustering
Part III Modelling: Classification
Multivariate Regression
Part IV Model Inspection: Validation
Variable Selection
Part V Applications: Chemometric
Part VI Appendices: R packages Used in This Book
References
Index
ISBN:9783642178412
Series:e-books
Series:SpringerLink (Online service)
Series:Use R
Series:Mathematics and Statistics (Springer-11649)
Keywords: Life sciences , Chemistry , Bioinformatics , Biology Data processing , Statistics
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Call number:SPRINGER-2011-9781441996343:ONLINE Show nearby items on shelf
Title:Probability for Statistics and Machine Learning [electronic resource] : Fundamentals and Advanced Topics
Author(s): Anirban DasGupta
Date:2011
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in anextremely accessible sty le, with elaborate motivating discussions and numerous worked out examples and exercises. The book has 20 chapters on a wide range of topics, 423 worked out examples, and 808 exercises. It is unique in itsunification of probability and statistics, its cov erage and its superb exercise sets, detailed bibliography, and in its substantive treatment of many topics of current importance. This book can be used as a text for a year longgraduate course in statistics, computer science, or mathematics, for self-stud y, and as an invaluable research reference on probabiliity and its applications. Particularly worth mentioning are the treatments of distribution theory,asymptotics, simulation and Markov Chain Monte Carlo, Markov chains and martingales, Gaussian processe s, VC theory, probability metrics, large deviations, bootstrap, the EM algorithm, confidence intervals, maximum likelihood and Bayesestimates, exponential families, kernels, and Hilbert spaces, and a self contained complete review of univariate probabilit y
Note:Springer eBooks
Contents:Chapter 1. Review of Univariate Probability
Chapter 2. Multivariate Discrete Distributions
Chapter 3. Multidimensional Densities
Chapter 4. Advance Distribution Theory
Chapter 5. Multivariate Normal and Related Distributions
Chapter 6. Finite Sample Theory of Order Statistics and Extremes
Chapter 7. Essential Asymptotics and Applications
Chapter 8. Characteristic Functions and Applications
Chapter 9. Asymptotics of Extremes and Order Statistics
Chapter 10. Markov Chains and Applications
Chapter 11. Random Walks
Chapter 12. Brownian Motion and Gaussian Processes
ISBN:9781441996343
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer simulation , Bioinformatics , Distribution (Probability theory) , Mathematical statistics
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Call number:SPRINGER-2011-9780817647896:ONLINE Show nearby items on shelf
Title:Structural Analysis of Complex Networks [electronic resource]
Author(s): Matthias Dehmer
Date:2011
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Because of the increasing complexity and growth of real-world networks, their analysis by using classical graph-theoretic methods is oftentimes a difficult procedure. As a result, there is a strong need to combine graph-theoreticmethods with mathemat ical techniques from other scientific disciplines, such as machine learning and information theory, in order to analyze complex networks more adequately. Filling a gap in literature, this self-contained bookpresents theoretical and application-oriented re sults to structurally explore complex networks. The work focuses not only on classical graph-theoretic methods, but also demonstrates the usefulness of structural graph theory as a toolfor solving interdisciplinary problems. Special emphasis is given to m ethods related to the following areas: * Applications to biology, chemistry, linguistics, and data analysis * Graph colorings * Graph polynomials * Informationmeasures for graphs * Metrical properties of graphs * Partitions and decompositions * Quantitati ve graph measures Structural Analysis of Complex Networks is suitable for a broad, interdisciplinary readership of researchers,practitioners, and graduate students in discrete mathematics, statistics, computer science, machine learning, artificial intelli gence, computational and systems biology, cognitive science, computational linguistics, and mathematicalchemistry. The book may be used as a supplementary textbook in graduate-level seminars on structural graph analysis, complex networks, or network-based machine learning methods
Note:Springer eBooks
Contents:Preface
A Brief Introduction to Complex Networks and Their Analysis
Partitions of Graphs
Distance in Graphs
Domination in Graphs
Spectrum and Entropy for Infinite Directed Graphs
Application of Infinite Labeled Graphs to Symbolic Dynamical Systems
Decompositions and Factorizations of Complete Graphs
Geodetic Sets in Graphs
Graph Polynomials and Their Applications I: The Tutte Polynomial
Graph Polynomials and Their Applications II: Interrelations and Interpretations
Reconstruction Problems for Graphs, Krawtchouk Polynomials, and Diophantine Equations
Subgraph
ISBN:9780817647896
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer Communication Networks , Computational complexity , Data mining , Bioinformatics , Combinatorics
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Call number:SPRINGER-2010-9783642030222:ONLINE Show nearby items on shelf
Title:Methods in Modern Biophysics [electronic resource]
Author(s): Bengt Nlting
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Incorporating recent dramatic advances, this textbook presents a fresh and timely introduction to modern biophysical methods. An array of new, faster and higher-power biophysical methods now enables scientists to examine themysteries of life at a mol ecular level. This innovative text surveys and explains the ten key biophysical methods, including those related to biophysical nanotechnology, scanning probe microscopy, X-ray crystallography, ion mobilityspectrometry, mass spectrometry, proteomics, and protein folding and structure. Incorporating much information previously unavailable in tutorial form, Nlting employs worked examples and about 270 illustrations to fully detail thetechniques and their underlying mechanisms. Methods in Modern Biophysics i s written for advanced undergraduate and graduate students, postdocs, researchers, lecturers, and professors in biophysics, biochemistry and related fields.Special features in the 3rd edition: Introduces rapid partial protein ladder sequencing - an import ant method for fast and highly sensitive identification of proteins, describes the determination of interaction surfaces in proteincomplexes by mass spectrometric mapping of binding of chemical linkers - a method to support the high-resolution structural analysis of large macromolecular assemblies
Note:Springer eBooks
Contents:The three
dimensional structure of proteins
Liquid chromatography of biomolecules
Mass spectrometry
X
ray structural analysis
Protein infrared spectroscopy
Electron microscopy
Scanning probe microscopy
Biophysical nanotechnology
Proteomics: high throughput protein functional analysis
Ion mobility spectrometry
Value analysis
Evolutionary computer programming
Rapid partial protein ladder sequencing
Surface labeling analysis of protein interactions
Conclusions
References
ISBN:9783642030222
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Biotechnology , Chemistry, Physical organic , Medicine , Biochemistry , Bioinformatics
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Call number:SPRINGER-2010-9781441969446:ONLINE Show nearby items on shelf
Title:Frontiers of Statistical Decision Making and Bayesian Analysis [electronic resource] : In Honor of James O. Berger
Author(s): Ming-Hui Chen
Peter Mller
Dongchu Sun
Keying Ye
Dipak K Dey
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This bookprovides a review of c urrent research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objectiveBayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods forcategorical and spatio-temporal data analysis and posterior simulation met hods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modelingand applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical andapplied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian stat istics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians whomake use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and re search scholars in statistics or biostatistics who wish to acquaint themselves with currentresearch frontiers. Ming-Hui Chen is Professor of Statistics at the University of Connecticut Dipak K. Dey is Head and Professor of Statistics at the University of Connecticut Peter Mller is Professor of Biostatistics at theUniversity of Texas M. D. Anderson Cancer Center Dongchu Sun is Professor of Statistics at the University of Missouri- Columbia and Keyi
Note:Springer eBooks
Contents:Objective Bayesian Inference with Applications
Bayesian Decision Based Estimation and Predictive Inference
Bayesian Model Selection and Hypothesis Tests
Bayesian Inference for Complex Computer Models
Bayesian Nonparametrics and Semi
parametrics
Bayesian Influence and Frequentist Interface
Bayesian Clinical Trials
Bayesian Methods for Genomics, Molecular and Systems Biology
Bayesian Data Mining and Machine Learning
Bayesian Inference in Political Science, Finance, and Marketing Research
Bayesian Categorical Data Analysis
Bayesian Geophysical, Spatial and Tempora
ISBN:9781441969446
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2010-9781441968241:ONLINE Show nearby items on shelf
Title:Recursive Partitioning and Applications [electronic resource]
Author(s): Heping Zhang
Burton H Singer
Date:2010
Edition:Second
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The routes to many important outcomes including diseases and ultimately death as well as financial credit consist of multiple complex pathways containing interrelated events and conditions. We have historically lacked effectivemethodologies for ident ifying these pathways and their non-linear and interacting features. This book focuses on recursive partitioning strategies as a response to the challenge of pathway characterization. A highlight of the secondedition is the many worked examples, most of t hem from epidemiology, bioinformatics, molecular genetics, physiology, social demography, banking, and marketing. The statistical issues, conceptual and computational, are not only treatedin detail in the context of important scientific questions, but als o an array of substantively-driven judgments are explicitly integrated in the presentation of examples. Going considerably beyond the standard treatments of recursivepartitioning that focus on pathway representations via single trees, this second edition has entirely new material devoted to forests from predictive and interpretive perspectives. For contexts where identification of factorscontributing to outcomes is a central issue, both random and deterministic forest generation methods are introduced via examples in genetics and epidemiology. The trees in deterministic forests are reproducible and more easilyinterpretable than the components of random forests. Also new in the second edition is an extensive treatment of survival forests and post-market ev aluation of treatment effectiveness. Heping Zhang is Professor of Public Health,Statistics, and Child Study, and director of the Collaborative Center for Statistics in Science, at Yale University. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, a MyrtoLefkopoulou Distinguished Lecturer Awarded by Harvard School of Public Health, and a Medallion lecturer selected by the Institute of Mathematical Statis
Note:Springer eBooks
Contents:Introduction
A Practical Guide to Tree Construction
Logistic Regression
Classification Trees for a Binary Response
Examples Using Tree
Based Analysis
Random and Deterministic Forests
Analysis of Censored Data: Examples
Analysis of Censored Data: Concepts and Classical Methods
Analysis of Censored Data: Survival Trees and Random Forests
Regression Trees and Adaptive Splines for a Continuous Response
Analysis of Longitudinal Data
Analysis of Multiple Discrete Responses
ISBN:9781441968241
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397 : v0
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics
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Call number:SPRINGER-2010-9780817647995:ONLINE Show nearby items on shelf
Title:Advances in Data Analysis [electronic resource] : Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks
Author(s): Christos H Skiadas
Date:2010
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:An outgrowth of the 12th International Conference on Applied Stochastic Models and Data Analysis, this book is a collection of invited chapters presenting recent developments in the field of data analysis, with applications toreliability and inferenc e, data mining, bioinformatics, lifetime data, and neural networks. Emphasized throughout the volume are new methods with the potential for solving real-world problems in various areas. The book is divided intoeight major sections: * Data Mining and Text Mining * Information Theory and Statistical Applications * Asymptotic Behaviour of Stochastic Processes and Random Fields * Bioinformatics and Markov Chains * Life Table Data, SurvivalAnalysis, and Risk in Household Insurance * Neural Networks and Self-Or ganizing Maps * Parametric and Nonparametric Statistics * Statistical Theory and Methods Advances in Data Analysis is a useful reference for graduate students,researchers, and practitioners in statistics, mathematics, engineering, economics, social scienc e, bioengineering, and bioscience
Note:Springer eBooks
Contents:I Data Mining and Text Mining
Assessing the Stability of Supplementary Elements on Principal Axes Maps Through Bootstrap Resampling. Contribution to Interpretation in Textual Analysis
A Doubly Projected Analysis for Lexical Tables
Analysis of a Mixture of Closed and Open
Ended Questions in the Case of a Multilingual Survey
Number of Frequent Patterns in Random Databases
II Information Theory and Statistical Applications
Measures of Divergence in Model Selection
High Leverage Points and Outliers in Generalized Linear Models for Ordinal Data
On a Minimization Problem Invo
ISBN:9780817647995
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Industry and Technology
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematics , Operations research , Distribution (Probability theory) , Mathematical statistics
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Call number:SPRINGER-2009-9789048123391:ONLINE Show nearby items on shelf
Title:From Molecules to Medicines [electronic resource] : Structure of Biological Macromolecules and Its Relevance in Combating New Diseases and Bioterrorism
Author(s): Joel L Sussman
Paola Spadon
Date:2009
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The synergism played by crystallography and drug discovery is the central focus of this volume which comprises papers presented at the 40th Erice Course held from 28 May to 8 June 2008. A key theme throughout the book is thedependence of modern struc tural science on multiple experimental and computational techniques, and it is the development of these techniques and their integration that will take us forward in the future
Note:Springer eBooks
Contents:Preface. List of Contributors. Surface Proteins of Gram
Positive Pathogens: Using Crystallography to Uncover Novel Features in Drug and Vaccine Candidates
The Rapid Crystallization Strategy for Structure
Based Inhibitor Design
Fragment
Based Drug Discovery in Academia: Experiences from a Tuberculosis Programme
Structural Biology Contributions to the Discovery of Drugs to Treat Chronic Myelogenous Leukemia
Integrating Crystallography Into Early Metabolism Studies
The Foundations of Protein
Ligand Interaction
Structure
Based Design of TRNA
Guanine Transglycosylase Inhibitors
ISBN:9789048123391
Series:e-books
Series:SpringerLink (Online service)
Series:NATO Science for Peace and Security Series A: Chemistry and Biology, 1874-6489
Series:Physics and Astronomy (Springer-11651)
Keywords: Computer simulation , Biochemistry , RNA-ligand interactions , Bioinformatics , Crystallography
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Call number:SPRINGER-2009-9783642006685:ONLINE Show nearby items on shelf
Title:Cooperation in Classification and Data Analysis [electronic resource] : Proceedings of Two German-Japanese Workshops
Author(s): Wolfgang Gaul
Hans-Hermann Bock
Tadashi Imaizumi
Akinori Okada
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume presents theories, models, algorithms, and applications in clustering, classification, and visualization. It also includes applications of clustering, classification, and visualization in various fields such asmarketing, recommendation sy stem, biology, sociology, and social survey. The contributions give insight into new models and concepts and show the variety of research in clustering, classification, and visualization
Note:Springer eBooks
Contents:Classification and Visualization
Methods in Fields
Applications in Clustering and Visualization
ISBN:9783642006685
Series:e-books
Series:SpringerLink (Online service)
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Bioinformatics , Mathematical statistics , Economics
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Call number:SPRINGER-2009-9783540708407:ONLINE Show nearby items on shelf
Title:Non-Protein Coding RNAs [electronic resource]
Author(s): Nils G Walter
Sarah A Woodson
Robert T Batey
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book assembles chapters from experts in the Biophysics of RNA to provide a broadly accessible snapshot of the current status of this rapidly expanding field. The 2006 Nobel Prize in Physiology or Medicine was awarded to thediscoverers of RNA int erference, highlighting just one example of a large number of non-protein coding RNAs. Because non-protein coding RNAs outnumber protein coding genes in mammals and other higher eukaryotes, it is now thought thatthe complexity of organisms is correlated w ith the fraction of their genome that encodes non-protein coding RNAs. Essential biological processes as diverse as cell differentiation, suppression of infecting viruses and parasitictransposons, higher-level organization of eukaryotic chromosomes, and g ene expression itself are found to largely be directed by non-protein coding RNAs. The biophysical study of these RNAs employs X-ray crystallography, NMR, ensembleand single molecule fluorescence spectroscopy, optical tweezers, cryo-electron microscopy, a nd other quantitative tools. This emerging field has begun to unravel the molecular underpinnings of how RNAs fulfill their multitude of rolesin sustaining cellular life. The physical and chemical understanding of RNA biology that results from biophysical studies is critical to our ability to harness RNAs for use in biotechnology and human therapy, a prospect that hasrecently spawned a multi-billion dollar industry
Note:Springer eBooks
ISBN:9783540708407
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Biophysics, 0932-2353 : v13
Series:Physics and Astronomy (Springer-11651)
Keywords: Medicine , Biochemistry , Bioinformatics , Cytology , Biomedical engineering
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Call number:SPRINGER-2009-9783034600781:ONLINE Show nearby items on shelf
Title:Entropy and Information [electronic resource]
Author(s): Mikhail V Volkenstein
Date:2009
Publisher:Basel : Birkhuser Basel
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book Entropy and Information deals with the thermodynamical concept of entropy and its relationship to information theory. It is successful in explaining the universality of the term Entropy not only as a physicalphenomenon, but reveals its exist ence also in other domains. E.g., Volkenstein discusses the meaning of entropy in a biological context and shows how entropy is related to artistic activities. Written by the renowned Russianbio-physicist Mikhail V. Volkenstein, this book on Entropy and I nformation surely serves as a timely introduction to understand entropy from a thermodynamic perspective and is definitely an inspiring and thought-provoking book thatshould be read by every physicist, information-theorist, biologist, and even artist
Note:Springer eBooks
Contents:1. Reflections on the motive power of fire ...
2. The laws of thermodynamics
3. Entropy and free energy
4. Entropy and probability
5. Statistics and mechanics
6. Open systems
7. Information
8. Entropy, information, life
ISBN:9783034600781
Series:e-books
Series:SpringerLink (Online service)
Series:Progress in Mathematical Physics : v57
Series:Physics and Astronomy (Springer-11651)
Keywords: Coding theory , Bioinformatics , Quantum theory
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Call number:SPRINGER-2009-9781848009981:ONLINE Show nearby items on shelf
Title:Digraphs [electronic resource] : Theory, Algorithms and Applications
Author(s): Jrgen Bang-Jensen
Gregory Z Gutin
Date:2009
Publisher:London : Springer London
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The theory of directed graphs has developed enormously over recent decades, yet this book (first published in 2000) remains the only book to cover more than a small fraction of the results. New research in the field has made asecond edition a necessi ty. Substantially revised, reorganised and updated, the book now comprises eighteen chapters, carefully arranged in a straightforward and logical manner, with many new results and open problems. As well ascovering the theoretical aspects of the subject, w ith detailed proofs of many important results, the authors present a number of algorithms, and whole chapters are devoted to topics such as branchings, feedback arc and vertex sets,connectivity augmentations, sparse subdigraphs with prescribed connectivit y, and also packing, covering and decompositions of digraphs. Throughout the book, there is a strong focus on applications which include quantum mechanics,bioinformatics, embedded computing, and the travelling salesman problem. Detailed indices and topic- oriented chapters ease navigation, and more than 650 exercises, 170 figures and 150 open problems are included to help immerse thereader in all aspects of the subject. Digraphs is an essential, comprehensive reference for undergraduate and graduate studen ts, and researchers in mathematics, operations research and computer science. It will also prove invaluable tospecialists in related areas, such as meteorology, physics and computational biology. Jrgen Bang-Jensen is a Professor in the Department of Mathe matics and Computer Science at the University of Southern Denmark, Odense, Denmark.Gregory Gutin is Professor of Computer Science at Royal Holloway College, University of London, UK
Note:Springer eBooks
Contents:Basic Terminology, Notation and Results
Classes of Digraphs
Distances
Flows in Networks
Connectivity of Digraphs
Hamiltonian, Longest and Vertex
Cheapest Paths and Cycles
Restricted Hamiltonian Paths and Cycles
Paths and Cycles of Prescribed Lengths
Branchings
Linkages in Digraphs
Orientations of Graphs and Digraphs
Sparse Subdigraphs with Prescribed Connectivity
Packings, Coverings and Decompositions
Increasing Connectivity
Feedback Sets and Vertex Orderings
Generalizations of Digraphs: Edge
Coloured Multigraphs
Applications of Digraphs and Edge
ISBN:9781848009981
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Monographs in Mathematics, 1439-7382
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer software , Algorithms , Combinatorics , Mathematical optimization
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Call number:SPRINGER-2009-9781441911483:ONLINE Show nearby items on shelf
Title:Statistical Analysis of Designed Experiments, Third Edition [electronic resource]
Author(s): Helge Toutenburg
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This textbook presents the design and analysis of experiments that comprise the aspects of classical theory for continuous response, modern procedures for categorical response, and especially for correlated categorical response.For any design (indepe ndent and matched-pair response) the parametric and nonparametric tests depending on the data level are given. Complex designs, such as, for example, cross-over and repeated measures, are included at anintroductory and advanced manner. The problem of miss ing data is also handled with care and procedures in approaching this problem are proposed. Thus, this is an important resource/reference book for undergraduates and universityteachers, for statistical researchers in the pharmaceutical industry, or other industries, as well as for clinical research in medicine and dentistry. The third edition contains a new chapter on incomplete block designs that includesthe balanced incomplete block design and partially balanced incomplete block design in addition to th e general theory on incomplete block designs. The chapter Multifactor Experiments is extended and includes new topics onconfounding, partial confounding and fractional replications that are explained with examples. The more theoretical proofs of Chapters 3, 4 and 6 are put into an appendix. Helge Toutenburg is Professor of Statistics at the Universityof Munich. He has written nineteen books on linear models, statistical methods in quality engineering, and the analysis of designed experiments. He works on applications of statistics to the fields of medicine and engineering. Shalabhis Associate Professor of Statistics at the Indian Institute of Technology Kanpur. He has co-authored a book on linear models and co-edited a book on the recent developments in t he area of linear models. He works in the area of linearmodels, regression analysis and econometrics
Note:Springer eBooks
Contents:Introduction
Comparison of two samples
The linear regression model
Single
factor experiments with fixed and random effects
More restrictive designs
Incomplete block designs
Multifactor experiments
Models for categorical response variables
Repeated measures model
Cross
over design
Statistical analysis of incomplete data
ISBN:9781441911483
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Bioinformatics , Statistical methods , Distribution (Probability theory) , Mathematical statistics , Econometrics , Psychometrics
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