Bioinformatics and Computational Biology Solutions Using R and Bioconductor. * Edited by Robert Gentleman, Wolfgang Huber, Vincent J. Carey, Rafael A. Irizarry and Sandrine Dudoit

This book guides through practical bioinformatics data analysisusing the Bioconductor toolkit, which is based on the statisticallanguage R. R itself is an open-source recreation of the languageS-Plus. The Bioconductor is a collection of R-packages for theanalysis of genomic and molecular biological data generatedin high-throughput experiments. High-throughput experimentsare characterized by large amounts of data generated in shortperiods of time on a sizable number of samples. This poses newchallenges to the analysis such as assessing and adjusting fornoise, exploration using cluster-analysis, visualization, andlinking to (or ‘annotating with’) biomedical knowledgebases. The book focuses on gene expression microarrays, the high-throughputtechnology for which statistical methods are best developedtoday. In addition, a