Multiple Testing Procedures with Applications to Genomics (Hardcover, 2008 ed.)

This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. The methods are applied to a range of testing problems in biomedical and genomic research, including the identification of differentially expressed and co-expressed genes in high-throughput gene expression experiments, such as microarray experiments; tests of association between gene expression measures and biological annotation metadata (e.g., Gene Ontology); sequence analysis; and the genetic mapping of complex traits using single nucleotide polymorphisms. The book is aimed at both statisticians interested in multiple testing theory and applied scientists encountering high-dimensional testing problems in their subject matter area.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Series in Statistics
Release date:	December 2007
First published:	2008
Authors:	Sandrine Dudoit • Mark J.Van Der Laan
Dimensions:	242 x 162 x 35mm (L x W x T)
Format:	Hardcover
Pages:	590
Edition:	2008 ed.
ISBN-13:	978-0-387-49316-9
Categories:	Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > General Promotions
LSN:	0-387-49316-6
Barcode:	9780387493169

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