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, 2002Epistasis 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
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Large-scale genetic epistasis networks using RNAi
Nature Methods, 2011Pairwise quantitative genetic interactions are mapped by combinatorial RNA interference in metazoan cells.
Xiaoyue Wang, Kevin P White
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Pleiotropy, epistasis and the genetic architecture of quantitative traits
Nature Reviews GeneticsPleiotropy (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
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[Re-evaluation of genetic formulae and epistasis].
Genetika, 1989Experimental 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
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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
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