An edition of Epistasis
(2015)
Epistasis
methods and protocols
by Jason H. Moore and Scott M. Williams
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Book Details
Table of Contents
Long-term selection experiments : epistasis and the response to selection -- Charles Goodnight
Finding the epistasis needles in the genome-wide haystack -- Marylyn D. Ritchie
Biological knowledge-driven analysis of epistasis in human GWAS with application to lipid traits -- Li Ma, Alon Keinan, and Andrew G. Clark
Epistasis for quantitative traits in Drosophila -- Trudy F. C. Mackay
Epistasis in the risk of human neuropsychiatric disease -- Scott M. Williams
On the partitioning of genetic variance with epistasis -- José M. Álvarez-Castro and Arnaud Le Rouzic
Measuring gene interactions -- Thomas F. Hansen
Two rules for the detection and quantification of epistasis and other interaction effects -- Günter P. Wagner
Direct approach to modeling epistasis -- Rong-Cai Yang
Capacitating epistasis - detection and role in the genetic architecture of complex traits -- Mats E. Pettersson and Örjan Carlborg
Compositional epistasis : an epidemiologic perspective -- Etsuji Suzuki and Tyler J. VanderWeele
Identification of genome-wide SNP-SNP and SNP-clinical boolean interactions in age-related macular degeneration -- Carlos Riveros [and eight others]
Epistasis analysis using information theory -- Jason H. Moore and Ting Hu
Genome-wide epistasis and pleiotropy characterized by the bipartite human phenotype network -- Christian Darabos and Jason H. Moore
Network theory for data-driven epistasis networks -- Caleb A. Lareau and Brett A. McKinney
Epistasis analysis using multifactor dimensionality reduction -- Jason H. Moore and Peter C. Andrews
Epistasis analysis using ReliefF -- Jason H. Moore
Epistasis analysis using artificial intelligence -- Jason H. Moore and Doug P. Hill.
Edition Notes
Includes bibliographical references and index.
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| February 26, 2022 | Edited by ImportBot | import existing book |
| September 21, 2020 | Created by MARC Bot | import new book |