Author: Sandrine Dudoit
Edition: 2008
Publisher: Springer
Binding: Hardcover
ISBN: 0387493166
Multiple Testing Procedures with Applications to Genomics (Springer Series in Statistics)
This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. Medical books Multiple Testing Procedures with Applications to Genomics . 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 Medical books Multiple Testing Procedures and Applications to Genomics .... 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.
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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.
Multiple Testing Procedures with Applications to Genomics by Dudoit, Sandrine/ Van Der Laan, Mark J. [Hardcover]
author mark j van der laan author sandrine dudoit format hardback language english publication year 25 01 2008 series springer series in statistics subject mathematics sciences subject 2 life sciences general title multiple testing procedures with applications to genomics springer series in statistics author sandrine dudoit mark j van der laan publisher springer verlag publication date dec 07 2007 pages 558 binding hardcover edition 1 st dimensions 6 25 wx 9 75 hx 1 25 d isbn 0387493166 subjec
Medical Book Multiple Testing Procedures with Applications to Genomics
- ISBN13: 9780387493169
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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.