Multiple Testing Procedures with Applications to Genomics

Name: Multiple Testing Procedures with Applications to Genomics
Brand: Springer-Verlag New York Inc.
SKU: 9780387493169
Price: 75438 HUF
Availability: InStock

Szerző: S. Dudoit, M. J. van der Laan

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

75 438 Ft

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

Információk a könyvről

Szerző

S. Dudoit, M. J. van der Laan

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2007

oldal

590

EAN

9780387493169

ISBN

0387493166

Enbook ID

01382257

Kiadó

Springer-Verlag New York Inc.

Súly

1014

Méretek

162 x 242 x 38

Teljes leírás

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.

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták

Leggyakrabban keresett

Categories

Authors

Publishers

Termékek

Termékek

Leggyakrabban keresett

Categories

Authors

Publishers

Termékek

Termékek

Multiple Testing Procedures with Applications to Genomics

Információk a könyvről

Teljes leírás

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták