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Multiple Testing Procedures with Applications to Genomics

Overview of attention for book
Cover of 'Multiple Testing Procedures with Applications to Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 Multiple Hypothesis Testing
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    Chapter 2 Test Statistics Null Distribution
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    Chapter 3 Overview of Multiple Testing Procedures
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    Chapter 4 Single-Step Multiple Testing Procedures for Controlling General Type I Error Rates, Θ( Fv n )
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    Chapter 5 Step-Down Multiple Testing Procedures for Controlling the Family-Wise Error Rate
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    Chapter 6 Augmentation Multiple Testing Procedures for Controlling Generalized Tail Probability Error Rates
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    Chapter 7 Resampling-Based Empirical Bayes multiple Testing Procedures for Controlling Generalized Tail Probability Error Rates
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    Chapter 8 Simulation Studies: Assessment of Test Statistics Null Distributions
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    Chapter 9 Identification of Differentially Expressed and Co-Expressed Genes in High-Throughput Gene Expression Experiments
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    Chapter 10 Multiple Tests of Association with Biological Annotation Metadata
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    Chapter 11 HIV-1 Sequence Variation and Viral Replication Capacity
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    Chapter 12 Genetic Mapping of Complex Human Traits Using Single Nucleotide Polymorphisms: The ObeLinks Project
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    Chapter 13 Software Implementation
Attention for Chapter 10: Multiple Tests of Association with Biological Annotation Metadata
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Citations

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Chapter title
Multiple Tests of Association with Biological Annotation Metadata
Chapter number 10
Book title
Multiple Testing Procedures with Applications to Genomics
Published by
Springer, New York, NY, January 2008
DOI 10.1007/978-0-387-49317-6_10
Book ISBNs
978-0-387-49316-9, 978-0-387-49317-6
View on publisher site
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Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 100%

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