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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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.
Imprint | Springer-Verlag New York |
Country of origin | United States |
Series | Springer Series in Statistics |
Release date | November 2010 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2008 |
Authors | Sandrine Dudoit, Mark J.Van Der Laan |
Dimensions | 235 x 155 x 32mm (L x W x T) |
Format | Paperback |
Pages | 590 |
Edition | Softcover reprint of hardcover 1st ed. 2008 |
ISBN-13 | 978-1-4419-2379-0 |
Barcode | 9781441923790 |
Categories | |
LSN | 1-4419-2379-9 |