Handbook of Statistical Bioinformatics by Henry Horng-Shing Lu (English) Paperba

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ISBN-13:9783642268274
Book Title:Handbook of Statistical Bioinformatics
Number of Pages:630 Pages
Publication Name:Handbook of Statistical Bioinformatics
Language:English
Publisher:Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Item Height:235 mm
Subject:Medicine,Computer Science,Mathematics
Publication Year:2013
Type:Textbook
Item Weight:967 g
Author:Bernhard Schoelkopf, Hongyu Zhao, Henry Horng-Shing Lu
Item Width:155 mm
Format:Paperback

Handbook of Statistical Bioinformatics by Henry Horng-Shing Lu, Hongyu Zhao, Bernhard Schölkopf Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This volume collects contributed chapters from leading researchers to survey the many active research topics and promote the visibility of this research area. This volume is intended to provide an introductory and reference book for students and researchers who are interested in the recent developments of computational statistics in computational biology. Back Cover Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This volume collects contributed chapters from leading researchers to survey the many active research topics and promote the visibility of this research area. This volume is intended to provide an introductory and reference book for students and researchers who are interested in the recent developments of computational statistics in computational biology. Author Biography Henry Horng-Shing Lu is a Professor at the National Chiao Tung Universitys Institute of Statistics in Taiwan. He is also the Chairman of the Universitys Interdisciplinary Sciences Degree Program in the College of Science. His research interests are in the field of interdisciplinary studies related to statistics, medical images and bioinformatics.Bernhard Schölkopf is a member of the Max Planck Society and Director of the Max Planck Institute for Biological Cybernetics. He is also an Honorary Professor of Machine Learning at the Technical University Berlin. His scientific interests are in the field of inference from empirical data; in particular, in machine learning methods for extracting statistical and causal regularities.Hongyu Zhao is a Professor of Biostatistics, Statistics, and Genetics at Yale University, where he also serves as the Director of the Center for Statistical Genomics and Protoemics. His research interests include statistical genomics, computational biology, statistical proteomics, risk prediction, high dimensional data analysis, and network modeling and inference. Table of Contents I: Accuracy Assessment of Consensus Sequence from Shotgun Sequencing.- Statistical and Computational Studies on Alternative Splicing.- Using Sequence Information to Predict TF-DNA Binding.- Computational Promoter Prediction in a Vertebrate Genome.- Discovering Influential Variables: A General Computer Intensive Method for Common Genetic Disorders.- STORMSeq: A Method for Ranking Regulatory Sequences by Integrating Experimental Datasets with Diverse Computational Predictions.- Mixture Tree Construction and Its Applications.- II: Experimental Designs and ANOVA for Microarray Data.- MAQC and Cross Platform Analysis of Microarray Data.- A Survey of Classification Techniques for Microarray Analysis.- Statistical Analysis of Single Nucleotide Polymorphism Microarrays in Cancer Studies.- Computational Analysis of ChIP-chip Data.- eQTL Mapping for Functional Classes of Saccharomyces Cerevisiae Genes with Multivariate Sparse Partial Least Squares Regression.- Analysis of Time Course Data.- III: Kernel Methods in Bioinformatics.- Graph Classification Methods in Chemoinformatics.- Hidden Markov Random Field Models for Network-based Analysis of Genomic Data.- Review of Weighted Gene Coexpression Network Analysis.- Liquid Association.- Boolean Networks.- Protein Interaction Networks: Protein Domain Interaction and Protein Function Prediction.- Regulatory Networks.- Inferring Signaling and Gene Regulatory Network from Genetic and Genomic Information.- Computational Drug Target Pathway Discovery: A Bayesian Network Approach.- Cancer Systems Biology.- Comparative Genomics and Molecular Evolution.- Robust Control of Immune Systems under Noises: Stochastic Game Approach. Review “This book puts together a nice collection of statistical methods covering a wide range of research topics in computational biology. … I can recommend the book as an overview on methods applied in computational biology for readers already experienced in basic computational statistics. Especially readers interested in systems biology topics will find a comprehensive summary of methods.” (Marc Zapatka, Biometrical Journal, Vol. 55 (4), 2013) Review Quote “This book puts together a nice collection of statistical methods covering a wide range of research topics in computational biology. … I can recommend the book as an overview on methods applied in computational biology for readers already experienced in basic computational statistics. Especially readers interested in systems biology topics will find a comprehensive summary of methods.” (Marc Zapatka, Biometrical Journal, Vol. 55 (4), 2013) Feature Introduces the state-of-arts techniques for statistical bioinformatics Focus on the interface between computational statistics and computational biology Covers key topics in modeling and analysis of massive data sets generated from high throughput biotechnology Details ISBN3642268277 Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Series Springer Handbooks of Computational Statistics Year 2013 ISBN-10 3642268277 ISBN-13 9783642268274 Format Paperback Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K Place of Publication Berlin Country of Publication Germany Edited by Bernhard Schölkopf DEWEY 572.80285 Short Title HANDBK OF STATISTICAL BIOINFOR Edition Description 2011 Language English Media Book Pages 630 Edition 2011th Illustrations X, 630 p. UK Release Date 2013-07-17 Publication Date 2013-07-17 Author Bernhard Schölkopf Replaced by 9783662659014 Alternative 9783642163449 Audience Professional & Vocational We’ve got this At The Nile, if you’re looking for it, we’ve got it. With fast shipping, low prices, friendly service and well over a million items – you’re bound to find what you want, at a price you’ll love! TheNile_Item_ID:96372715;

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