[PDF.78ek] Multiple Testing Procedures with Applications to Genomics (Springer Series in Statistics)

Multiple Testing Procedures with Applications to Genomics (Springer Series in Statistics)

[PDF.ll96] Multiple Testing Procedures with Applications to Genomics (Springer Series in Statistics)

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 | #3605001 in Books |  Sandrine Dudoit |  2007-12-19 |  2007-12-19 | Original language:English | PDF # 1 |  9.25 x1.42 x6.10l,2.21 | File type: PDF | 590 pages

 | Multiple Testing Procedures with Applications to Genomics

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||3 of 3 people found the following review helpful.| multiple testing with microarrays|By Michael R. Chernick|The traditional approach to multiple testing or simultaneous inference was to take a small number of correlated or uncorrelated tests and estimate a family-wise type I error rate that minimizes the the probability of just one type I error out of the whole set whan all the null hypotheses hold. Bounds like Bonferroni or S

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;...

You easily download any file type for your gadget.Multiple Testing Procedures with Applications to Genomics (Springer Series in Statistics)   |  Sandrine Dudoit, Mark J. van der Laan. Which are the reasons I like to read books. Great story by a great author.

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