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Epistasis

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Cover of 'Epistasis'

Table of Contents

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    Book Overview
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    Chapter 1 Long-Term Selection Experiments: Epistasis and the Response to Selection
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    Chapter 2 Finding the Epistasis Needles in the Genome-Wide Haystack
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    Chapter 3 Biological Knowledge-Driven Analysis of Epistasis in Human GWAS with Application to Lipid Traits.
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    Chapter 4 Epistasis for quantitative traits in Drosophila.
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    Chapter 5 Epistasis in the risk of human neuropsychiatric disease.
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    Chapter 6 On the Partitioning of Genetic Variance with Epistasis
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    Chapter 7 Measuring gene interactions.
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    Chapter 8 Two Rules for the Detection and Quantification of Epistasis and Other Interaction Effects
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    Chapter 9 Direct Approach to Modeling Epistasis
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    Chapter 10 Capacitating Epistasis—Detection and Role in the Genetic Architecture of Complex Traits
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    Chapter 11 Compositional Epistasis: An Epidemiologic Perspective
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    Chapter 12 Identification of Genome-Wide SNP-SNP and SNP-Clinical Boolean Interactions in Age-Related Macular Degeneration.
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    Chapter 13 Epistasis Analysis Using Information Theory
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    Chapter 14 Genome-wide epistasis and pleiotropy characterized by the bipartite human phenotype network.
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    Chapter 15 Network theory for data-driven epistasis networks.
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    Chapter 16 Epistasis analysis using multifactor dimensionality reduction.
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    Chapter 17 Epistasis Analysis Using ReliefF
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    Chapter 18 Epistasis analysis using artificial intelligence.
Attention for Chapter 1: Long-Term Selection Experiments: Epistasis and the Response to Selection
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Chapter title
Long-Term Selection Experiments: Epistasis and the Response to Selection
Chapter number 1
Book title
Epistasis
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2155-3_1
Pubmed ID
Book ISBNs
978-1-4939-2154-6, 978-1-4939-2155-3
Authors

Charles Goodnight, Goodnight, Charles

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Researcher 3 23%
Other 1 8%
Student > Master 1 8%
Student > Bachelor 1 8%
Other 2 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 69%
Biochemistry, Genetics and Molecular Biology 2 15%
Mathematics 1 8%
Medicine and Dentistry 1 8%