Multiple Testing Procedures with Applications to Genomics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiple Testing Procedures with Applications to Genomics write by Sandrine Dudoit. This book was released on 2008-11-01. Multiple Testing Procedures with Applications to Genomics available in PDF, EPUB and Kindle. 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.
Multiple Testing Procedures with Applications to Genomics
Multiple Testing Procedures with Applications to Genomics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiple Testing Procedures with Applications to Genomics write by Sandrine Dudoit. This book was released on 2007-12-18. Multiple Testing Procedures with Applications to Genomics available in PDF, EPUB and Kindle. 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.
Multiple Hypothesis Testing
Multiple Hypothesis Testing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiple Hypothesis Testing write by Houston Nash Gilbert. This book was released on 2009. Multiple Hypothesis Testing available in PDF, EPUB and Kindle.
Resampling-Based Multiple Testing
Resampling-Based Multiple Testing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Resampling-Based Multiple Testing write by Peter H. Westfall. This book was released on 1993-01-12. Resampling-Based Multiple Testing available in PDF, EPUB and Kindle. Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report and widely applicable. Software from SAS Institute is available to execute many of the methods and programming is straightforward for other applications. Explains how to summarize results using adjusted p-values which do not necessitate cumbersome table look-ups. Demonstrates how to incorporate logical constraints among hypotheses, further improving power.
Multiple Testing Procedures Controlling False Discovery Rate with Applications to Genomic Data
Multiple Testing Procedures Controlling False Discovery Rate with Applications to Genomic Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiple Testing Procedures Controlling False Discovery Rate with Applications to Genomic Data write by Iris Mirales Gauran. This book was released on 2018. Multiple Testing Procedures Controlling False Discovery Rate with Applications to Genomic Data available in PDF, EPUB and Kindle. In recent mutation studies, analyses based on protein domain positions are gaining popularity over traditional gene-centric approaches since the latter have limitations in considering the functional context that the position of the mutation provides. This presents a large-scale simultaneous inference problem, with hundreds of hypothesis tests to consider at the same time. The overarching objective of this thesis is to propose different multiple testing procedures which can address the problems posed by discrete genomic data. Specifically, we are interested in identifying significant mutation counts while controlling a given level of Type I error via False Discovery Rate (FDR) procedures. One main assumption is that the mutation counts follow a zero-inflated model in order to account for the true zeros in the count model and the excess zeros. The class of models considered is the Zero-inflated Generalized Poisson (ZIGP) distribution.
