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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 18: Epistasis analysis using artificial intelligence.
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