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Titlebook: Multiple Testing Procedures with Applications to Genomics; Sandrine Dudoit,Mark J. Laan Book 2008 Springer-Verlag New York 2008 Annotation

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發(fā)表于 2025-3-21 18:19:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Multiple Testing Procedures with Applications to Genomics
編輯Sandrine Dudoit,Mark J. Laan
視頻videohttp://file.papertrans.cn/642/641050/641050.mp4
概述This book provides a detailed account of the theoretical foundations of proposed multiple testing methods and illustrates their application to a range of testing problems in genomics.Includes suppleme
叢書(shū)名稱Springer Series in Statistics
圖書(shū)封面Titlebook: Multiple Testing Procedures with Applications to Genomics;  Sandrine Dudoit,Mark J. Laan Book 2008 Springer-Verlag New York 2008 Annotation
描述.This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. The methods are applied to a range of testing problems in biomedical and genomic research, including the identification of differentially expressed and co-expressed genes in high-throughput gene expression experiments, such as microarray experiments; tests of association between gene expression measures and biological annotation metadata (e.g., Gene Ontology); sequence analysis; and the genetic mapping of complex traits using single nucleotide polymorphisms. ..The book is aimed at both statisticians interested in multiple testing theory and applied scientists encountering high-dimensional testing problems in their subject matter area. Specifically, the book proposes resampling-based single-step and stepwise multiple testing procedures for controlling a broad class of Type I error rates, defined as tail probabilities and expected values for arbitrary functions of the numbers of Type I errors and rejected hypotheses (e.g., false discovery rate). Unlike existing approaches, the procedures are based on a test statistics join
出版日期Book 2008
關(guān)鍵詞Annotation; Gene Ontology; Master Patient Index; Microarray; Resampling; SAS; Single Nucleotide Polymorphi
版次1
doihttps://doi.org/10.1007/978-0-387-49317-6
isbn_softcover978-1-4419-2379-0
isbn_ebook978-0-387-49317-6Series ISSN 0172-7397 Series E-ISSN 2197-568X
issn_series 0172-7397
copyrightSpringer-Verlag New York 2008
The information of publication is updating

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978-1-4419-2379-0Springer-Verlag New York 2008
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0172-7397 s and expected values for arbitrary functions of the numbers of Type I errors and rejected hypotheses (e.g., false discovery rate). Unlike existing approaches, the procedures are based on a test statistics join978-1-4419-2379-0978-0-387-49317-6Series ISSN 0172-7397 Series E-ISSN 2197-568X
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Multiple Testing Procedures with Applications to Genomics
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Book 2008in R and SAS. The methods are applied to a range of testing problems in biomedical and genomic research, including the identification of differentially expressed and co-expressed genes in high-throughput gene expression experiments, such as microarray experiments; tests of association between gene e
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0172-7397 to a range of testing problems in genomics.Includes suppleme.This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. The methods are applied to a range of testing problems in biomedical and gen
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