Multiple Testing Procedures with Applications to Genomics - Sandrine Dudoit,Mark J. Van Der Laan
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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, including identification of differentially expressed and co-expressed genes in high-throughput gene expression experiments; tests of association between gene expression m ... Full description
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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.
More Information
| Author | Sandrine Dudoit, Mark J. Van Der Laan |
|---|---|
| Publisher | Springer US |
| Series | Springer Series in Statistics |
| Release year | 2007 |
| Cover type | Hardcover |
| EAN | 9780387493169 |