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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Dudoit, Sandrine (Συγγραφέας), Laan, Mark J. van der (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 2008.
Σειρά:Springer Series in Statistics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.