Multiple testing procedures with applications to genomics /

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Bibliographic Details
Author / Creator:Dudoit, Sandrine.
Imprint:New York ; London : Springer, 2008.
Description:1 online resource (xxxiii, 588 p.) : ill.
Language:English
Series:Springer series in statistics
Springer series in statistics.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8883900
Hidden Bibliographic Details
Other authors / contributors:Laan, M. J. van der.
ISBN:9780387493176
0387493174
Notes:Includes bibliographical references (p. [561]-574) and indexes.
Description based on print version record.
Other form:Print version: Dudoit, Sandrine. Multiple testing procedures with applications to genomics. New York ; London : Springer, 2008 9780387493169 0387493166
Description
Summary:

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.

Physical Description:1 online resource (xxxiii, 588 p.) : ill.
Bibliography:Includes bibliographical references (p. [561]-574) and indexes.
ISBN:9780387493176
0387493174