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 Biocon...

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Bibliographic Details
Main Authors: Hahne, Florian (Author), Huber, Wolfgang (Author), Gentleman, Robert (Author), Falcon, Seth (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York, 2008.
Edition:1.
Series:Use R!
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • The ALL Dataset
  • 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.