Hahne Florian et al. Bioconductor Case Studies

Springer, 2008. — 284 p. — (Series "Use R!"). — ISBN: 0387772391.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.