Multiple Testing Procedures with Applications to Genomics

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...

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Bibliographic Details
Main Authors: Dudoit, Sandrine (Author), Laan, Mark J. van der (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York, 2008.
Series:Springer Series in Statistics,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Multiple Hypothesis Testing
  • Test Statistics Null Distribution
  • Overview of Multiple Testing Procedures
  • Single-Step Multiple Testing Procedures for Controlling General Type I Error Rates, ?(Fvn)
  • Step-Down Multiple Testing Procedures for Controlling the Family-Wise Error Rate
  • Augmentation Multiple Testing Procedures for Controlling Generalized Tail Probability Error Rates
  • Resampling-Based Empirical Bayes multiple Testing Procedures for Controlling Generalized Tail Probability Error Rates
  • Simulation Studies: Assessment of Test Statistics Null Distributions
  • Identification of Differentially Expressed and Co-Expressed Genes in High-Throughput Gene Expression Experiments
  • Multiple Tests of Association with Biological Annotation Metadata
  • HIV-1 Sequence Variation and Viral Replication Capacity
  • Genetic Mapping of Complex Human Traits Using Single Nucleotide Polymorphisms: The ObeLinks Project
  • Software Implementation.