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Epistasis in genetic algorithms revisited
Information Sciences, 1997Abstract Davidor epistasis is first analyzed to give its meaning a better understanding. Then, a generalization is introduced to investigate interactions between one or more positions on a chromosome, allowing a more accurate analysis of fitness landscape.
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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.
M. Slimane, G. Venturini, S. Rochet
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On Epistasis for Measure of Genetic Algorithm Hardnesss
NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society, 2006Aiming at the essence of epistasis and its significance in measuring genetic algorithm hardness, a theoretical analysis and a practical research are processed. Based on the analysis of the Euclidean normalization of epistasis variance and the extent of epistasis coefficient, which reflect the extent of epistasis of genetic algorithms, two theorems are ...
Baida Qu, Baoguo Xu
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Detecting genetic epistasis by differential departure from independence
Molecular Genetics and Genomics, 2022Countering prior beliefs that epistasis is rare, genomics advancements suggest the other way. Current practice often filters out genomic loci with low variant counts before detecting epistasis. We argue that this practice is far from optimal because it can throw away strong epistatic patterns.
Ruby Sharma +3 more
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Epistasis and genetic pathways
2020This chapter explains epistasis, whereby the phenotype of one gene masks the phenotype of a different gene, and describes how it can be exploited to construct the logical pathway of the gene interactions that underlie a biological process. It notes that every biological process is the outcome of genes or gene products working together in pathways and ...
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EPISTASIS AND THE EFFECT OF FOUNDER EVENTS ON THE ADDITIVE GENETIC VARIANCE [PDF]
Evolution, 1988 Models of founder events have focused on the reduction in the genetic variation following a founder event. However, recent work (Bryant et al., 1986; Goodnight, 1987) suggests that when there is epistatic genetic variance in a population, the total genetic variance within demes may actually increase following a founder event. Since the additive genetic
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Genetic interactions : epistasis, linkage and speciation
2019Population genetics often makes simplifying assumptions regarding the interactions between genes. Interactions between genes, whether through epistasis or linkage effects, vastly increase the complexity of mathematical modeling, and often require data that has not historically been available. In this Dissertation, I present three chapters that use this
Dagilis, Andrius Jonas +1 more
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Epistasis as a Source of Increased Additive Genetic Variance at Population Bottlenecks
Evolution, 1996The role of epistasis in evolution and speciation has remained controversial. We use a new parameterization of physiological epistasis to examine the effects of epistasis on levels of additive genetic variance during a population bottleneck. We found that all forms of epistasis increase average additive genetic variance in finite populations derived ...
James M. Cheverud, Eric J. Routman
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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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Genetic testing in prostate cancer management: Considerations informing primary care
Ca-A Cancer Journal for Clinicians, 2022Veda N Giri +2 more
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