edited by Jason H. Moore, Department of Genetics, Institute of Quantitative Biomedical Sciences, Geisel School of Medicine, Hanover, NH, USA, Scott M. Williams, Department of Genetics, Institute of Quantitative Biomedical Sciences, Geisel School of Medicine, Hanover, NH, USA
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
x, 350 pages : illustrations )some color(
SERIES
Series Title
Methods in Molecular Biology,1064-3745 ;1253
Series Title
Springer protocols,1949-2448
Series Title
Series: Methods in molecular biology )Clifton, N.J.( ;v. 1253,1064-3745
Series Title
Series: Springer protocols )Series(,1949-2448
CONTENTS NOTE
Text of Note
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 /Josae M. aAlvarez-Castro and Arnaud Le Rouzic --Measuring gene interactions /Thomas F. Hansen --Two rules for the detection and quantification of epistasis and other interaction effects /Geunter 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 eOrjan 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.