Results 191 to 199 of about 50,815 (199)
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Epistasis for real encoding in genetic algorithms

1996 Australian New Zealand Conference on Intelligent Information Systems. Proceedings. ANZIIS 96, 2002
Epistasis is a well known tool introduced by Davidor (1991) to understand and predict the performance of a genetic algorithm using binary encoding. The meaning of variance of epistasis is analyzed using Walsh basis; it is established that this variance can be viewed as a measure of the quality of a linear approximation.
S. Rochet, M. Slimane, G. Venturini
openaire   +1 more source

Large-scale genetic epistasis networks using RNAi

Nature Methods, 2011
Pairwise quantitative genetic interactions are mapped by combinatorial RNA interference in metazoan cells.
Xiaoyue Wang, Kevin P White
openaire   +1 more source

Pleiotropy, epistasis and the genetic architecture of quantitative traits

Nature Reviews Genetics
Pleiotropy (whereby one genetic polymorphism affects multiple traits) and epistasis (whereby non-linear interactions between genetic polymorphisms affect the same trait) are fundamental aspects of the genetic architecture of quantitative traits.
Trudy F. C. Mackay, Robert R. H. Anholt
openaire   +2 more sources

[Re-evaluation of genetic formulae and epistasis].

Genetika, 1989
Experimental verification of some quantitative results, following from the new theory for investigation of non-allelic genes' interactions in the diallele analysis by Hayman was conducted. We postulated earlier a special kind of epistasis HC which is the new explication of epistasis j--the interaction between homozygote and heterozygote by Mather and ...
A N, Stroganov   +2 more
openaire   +1 more source

Epistasis and deep learning in quantitative genetics

Deep learning (DL) methods are becoming increasingly common in biological research. While powerful in some contexts, it's often unclear what biological patterns DL models end up learning and how much of an advantage they provide over simpler alternatives.
Sandler, George, York, Ryan
openaire   +1 more source

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