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...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York,
2008.
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Σειρά: | Springer Series in Statistics,
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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.