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Bioconductor case studies /...
Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments. Its application spans a broad field of technologies used in contemporary molecular biology. In this volume, the authors present a collection of cases to apply Bioconductor tools in the analysis of microarray gene expression data. Topics covered include @* import and preprocessing of data from various sources @* statistical modeling of differential gene expression @* biological metadata @* application of graphs and graph rendering @* machine learning for clustering and classification problems @* gene set enrichment analysis Each chapter of this book describes an analysis of real data using hands-on example driven approaches. Short exercises help in the learning process and invite more advanced considerations of key topics. The book is a dynamic document. All the code shown can be executed on a local computer, and readers are able to reproduce every computation, figure, and table. The authors of this book have longtime experience in teaching introductory and advanced courses to the application of Bioconductor software. Florian Hahne is a Postdoc at the Fred Hutchinson Cancer Research Center in Seattle, developing novel methodologies for the analysis of high-throughput cell-biological data. Wolfgang Huber is a research group leader in the European Molecular Biology Laboratory at the European Bioinformatics Institute in Cambridge. He has wide-ranging experience in the development of methods for the analysis of functional genomics experiments. Robert Gentleman is Head of the Program in Computational Biology at the Fred Hutchinson Cancer Research Center in Seattle, and he is one of the two authors of the original R system. Seth Falcon is a member of the R core team and former project manager and developer for the Bioconductor project
Monografía
monografia Rebiun21523167 https://catalogo.rebiun.org/rebiun/record/Rebiun21523167 m o d cr cn||||||||| 100721s2008 nyua ob 001 0 eng d 2008926129 746935358 754328996 767203666 816861170 961593823 962658006 966210697 985030401 988537658 992019889 994801167 1005745021 1007577258 1035709673 1037783227 1038637769 1045508941 1055311683 1058016686 1065675026 1071225177 1077260741 9780387772400 0387772405 1283250942 9781283250948 9780387772394 softcover ; alk. paper) 0387772391 softcover ; alk. paper) 978-0-387-77239-4 Springer http://www.springerlink.com GW5XE eng pn GW5XE NOC OCLCQ E7B OCLCQ ISOBC IDEBK OCLCQ OCLCF DKDLA OCLCQ YDXCP EBLCP DEBSZ OCLCQ AZK LOA OCLCO COCUF VT2 Z5A MOR LIP PIFAG ZCU OTZ OCLCQ MERUC ESU OCLCQ STF OCLCO U3W KIJ WRM OCLCQ NRAMU INT AU@ WYU ICG PS bicssc Bioconductor case studies Florian Hahne [and others] New York, NY Springer ©2008 New York, NY New York, NY Springer 1 online resource (x, 283 pages) illustrations (some color) 1 online resource (x, 283 pages) Text txt rdacontent computer c rdamedia online resource cr rdacarrier data file rda Use R! Includes bibliographical references (pages 271-275) and index The ALL data set -- R and Bioconductor introduction -- Processing affymetrix expression data -- Two color arrays -- Fold changes, log-ratios, background correction, shrinkage estimation and variance stabilization -- Easy differential expression -- Differential expression -- Annotation and metadata -- Supervised machine learning -- Unsupervised machine learning -- Using graphs for interactome data -- Graph layout -- Gene set enrichment analysis -- Hypergeometric testing used for gene set enrichment analysis -- Solutions to exercises -- References -- Index Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments. Its application spans a broad field of technologies used in contemporary molecular biology. In this volume, the authors present a collection of cases to apply Bioconductor tools in the analysis of microarray gene expression data. Topics covered include @* import and preprocessing of data from various sources @* statistical modeling of differential gene expression @* biological metadata @* application of graphs and graph rendering @* machine learning for clustering and classification problems @* gene set enrichment analysis Each chapter of this book describes an analysis of real data using hands-on example driven approaches. Short exercises help in the learning process and invite more advanced considerations of key topics. The book is a dynamic document. All the code shown can be executed on a local computer, and readers are able to reproduce every computation, figure, and table. The authors of this book have longtime experience in teaching introductory and advanced courses to the application of Bioconductor software. Florian Hahne is a Postdoc at the Fred Hutchinson Cancer Research Center in Seattle, developing novel methodologies for the analysis of high-throughput cell-biological data. Wolfgang Huber is a research group leader in the European Molecular Biology Laboratory at the European Bioinformatics Institute in Cambridge. He has wide-ranging experience in the development of methods for the analysis of functional genomics experiments. Robert Gentleman is Head of the Program in Computational Biology at the Fred Hutchinson Cancer Research Center in Seattle, and he is one of the two authors of the original R system. Seth Falcon is a member of the R core team and former project manager and developer for the Bioconductor project Bioconductor (Computer file) Bioconductor (Computer file) Bioinformatics R (Computer program language) Bioinformatics. R (Computer program language) Bioinformatik. R Programm. Electronic books Lehrbuch. Electronic book Hahne, Florian Print version Bioconductor case studies. New York, NY : Springer, ©2008 9780387772394 0387772391 (DLC) 2008926129 (OCoLC)213855651 Use R.