Multiple Testing Procedures with Applications to Genomics PDF
by Sandrine Dudoit, Mark J. van der Laan
Part of the Springer Series in Statistics series
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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.
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- Format:PDF
- Publisher:Springer New York
- Publication Date:18/12/2007
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- ISBN:9780387493176
Information
-
Download Now
- Format:PDF
- Publisher:Springer New York
- Publication Date:18/12/2007
- Category:
- ISBN:9780387493176