This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SA

This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SA

Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data

Full four-color book. Some of the editors created the Bioconductor project and Robert Gentleman is one of the two originators of R. All methods are illustrated