Multiple testing procedures with applications to genomics /
Author / Creator: | Dudoit, Sandrine. |
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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 |
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. |
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Physical Description: | 1 online resource (xxxiii, 588 p.) : ill. |
Bibliography: | Includes bibliographical references (p. [561]-574) and indexes. |
ISBN: | 9780387493176 0387493174 |