Bioconductor case studies

Bioconductor case studies

by Hahne, Florian

Type Book
Rate 0.0 /5

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* b…

Read More ↓
Details
Files
Reviews
Download

Title Statements

  • Full title :Bioconductor case studies

Summary

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 ...

Read More ↓

Edition Statements

  • Publication Date:2008

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:New York, N.Y
  • Language:und
  • Publication Date:2008

Notes

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 differentia expression.- Differential expression.- Annotation and metadata.- Supervised machine learning.- Unsupervised machine learning.- Using graphs for interactom data.- Graph layout.- Gene set enrichment analysis.- Hypergeometric testing used for gene set enrichment analysis.- Solutions to exercises.- References.- Index.

The Physical Object

  • Description:283 p.

Edition Identifiers

  • ISBN:0387772391, 9780387772394
  • oclc:ocn474177416
  • LC Classification:QH324.2
  • Dewey Decimal:572.80285

Table of Contents

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 differentia expression.- Differential expression.- Annotation and metadata.- Supervised machine learning.- Unsupervised machine learning.- Using graphs for interactom data.- Graph layout.- Gene set enrichment analysis.- Hypergeometric testing used for gene set enrichment analysis.- Solutions to exercises.- References.- Index.

Read More ↓

Subjects

Bio-informatique Bioconductor (Computer file) Bioinformatics Computational Biology R (Computer program language) R (Langage de programmation)

Writers

Hahne, Florian

More from this Series

Rate & Review

0.0/5
(0 people Voted)

No reviews yet. Be the first to rate this work.

Files & Downloads

No downloadable files are registered for this work yet.

Log in to request a copy