Multiple Testing Procedures with Applications to Genomics

Name: Multiple Testing Procedures with Applications to Genomics
Brand: Springer-Verlag New York Inc.
SKU: 9780387493169
Price: 4461 CZK
Availability: InStock

Autor: S. Dudoit, M. J. van der Laan

Jazyk:

Vazba: Pevná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

Odesíláme za 10-13 dnů

4 461 Kč

This book establishes the theoretical foundations of a general methodology for multiple hypothesis t...

Informace o knize

Autor

S. Dudoit, M. J. van der Laan

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2007

Stránek

590

EAN

9780387493169

ISBN

0387493166

Enbook ID

01382257

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

1014

Rozměry

162 x 242 x 38

Kompletní popis

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 joint null distribution and provide Type I error control in testing problems involving general data generating distributions (with arbitrary dependence structures among variables), null hypotheses, and test statistics. The multiple testing results are reported in terms of rejection regions, parameter confidence regions, and adjusted p-values.

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také

Nejčastěji hledané

Categories

Authors

Publishers

Produkty

Produkty

Nejčastěji hledané

Categories

Authors

Publishers

Produkty

Produkty

Multiple Testing Procedures with Applications to Genomics

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také