資料來源: Google Book

The analysis of gene expression data :methods and software

  • 其他作者: Parmigiani, G.
  • 出版: New York : Springer ©2003.
  • 稽核項: 1 online resource (xix, 455 pages, 38 color plates) :illustrations.
  • 叢書名: Statistics for biology and health
  • 標題: methods. , Gene Expression Profiling , methods , Gene expression Research -- Methodology. , Life SciencesGenetics & Genomics. , SCIENCE , Oligonucleotide Array Sequence Analysis methods. , Electronic books. , DNA microarrays. , Gene Expression Profiling methods , Oligonucleotide Array Sequence Analysis methods , Data processing. , SCIENCE Life Sciences -- Genetics & Genomics. , Gene expression Data processing. , ResearchMethodology. , Data Interpretation, Statistical , Gene expression , Gene Expression Profiling methods. , Data Interpretation, Statistical. , Oligonucleotide Array Sequence Analysis
  • ISBN: 0387955771 , 9780387955773
  • 試查全文@TNUA:
  • 附註: Includes bibliographical references and index. The analysis of gene expression data : an overview of methods and software / Giovanni Parmigiani [and others] -- Visualization and annotation of genomic experiments / Robert Gentleman and Vincent Carey -- Bioconductor R packages for exploratory analysis and normalization of cDNA microarray data / Sandrine Dudoit and Jean Yee Hwa Yang -- An R package for analyses of affymetriz oligonucleotide arrays / Rafael A. Irizarry, Laurent Gautier, and Leslie M. Cope -- DNA-Chip analyzer (dChip) / Cheng Li and Wing Hung Wong -- Expression profiler / Jaak Vilo [and others] -- An S-PLUS library for the analysis and visualization of differential expression / Jae K. Lee and Michael O'Connell -- DRAGON and DRAGON view: methods for the annotation, analysis, and visualization of large-scale gene expression data / Christopher M.L.S. Bouton [and others] -- SNOMAD : biologist-friendly web tools for the standardization and NOrmalization of microarray data / Carlo Colantuoni [and others] -- Microarray analysis using the MicroArray explorer / Peter F. Lemkin, Gregory C. Thornwall, and Jai Evans -- Parametric empirical Bayes methods for microarrays / Michael A. Newton and Christina Kendziorski -- SAM thresholding and false discovery rates for detecting differential gene expression in DNA microarrays / John D. Storey and Robert Tibshirani -- Adaptive gene picking with microarray data : detecting important low abundance signals / Yi Lin [and others] -- MAANOVA : a software package for the analysis of spotted cDNA microarray experiments / Hao Wu [and others] -- GeneClust / Kim-Anh Do, Bradley Broom, and Sijin Wen -- POE : statistical methods for qualitative analysis of gene expression / Elizabeth S. Garrett and Giovanni Parmigiani -- Bayesian decomposition / Michael F. Ochs -- Bayesian clustering of gene expression dynamics / Paola Sebastiani, Marco Ramoni, and Isaac S. Kohane -- Relevance networks : a first step toward finding genetic regulatory networks within microarray data / Atul J. But
  • 摘要: This book presents practical approaches for the analysis of data from gene expression microarrays. Each chapter describes the conceptual and methodological underpinning for a statistical tool and its implementation in software. Methods cover all aspects of statistical analysis of microarrays, from annotation and filtering to clustering and classification. Chapters are written by the developers of the software. All software packages described are free to academic users. The book includes coverage of various packages that are part of the Bioconductor project and several related R tools. The materials presented cover a range of software tools designed for varied audiences. Some chapters describe simple menu-driven software in a user-friendly fashion, and are designed to be accessible to microarray data analysts without formal quantitative training. Most chapters are directed at microarray data analysts with master-level training in computer science, biostatistics or bioinformatics. A minority of more advanced chapters are intended for doctoral students and researchers.
  • 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=108102
  • 系統號: 005313457
  • 資料類型: 電子書
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  • 引用網址: 複製連結
This book presents practical approaches for the analysis of data from gene expression micro-arrays. It describes the conceptual and methodological underpinning for a statistical tool and its implementation in software. The book includes coverage of various packages that are part of the Bioconductor project and several related R tools. The materials presented cover a range of software tools designed for varied audiences.
來源: Google Book
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