Multiple Testing Procedures with Applications to Genomics, PDF eBook

Multiple Testing Procedures with Applications to Genomics PDF

Part of the Springer Series in Statistics series

PDF

  • Information

Description

This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. These are applied to a range of problems in biomedical and genomic research, including identification of differentially expressed and co-expressed genes in high-throughput gene expression experiments; tests of association between gene expression measures and biological annotation metadata; sequence analysis; and genetic mapping of complex traits using single nucleotide polymorphisms. The procedures are based on a test statistics joint null distribution and provide Type I error control in testing problems involving general data generating distributions, null hypotheses, and test statistics.

Information

Save 14%

£139.50

£118.58

Information