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Dynamics in Epistasis Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018Finding regulatory relationships between genes, including the direction and nature of influence between them, is a fundamental challenge in the field of molecular genetics. One classical approach to this problem is epistasis analysis. Broadly speaking, epistasis analysis infers the regulatory relationships between a pair of genes in a genetic pathway ...
Aseel Awdeh +3 more
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Epistasis in Neuropsychiatric Disorders
Trends in Genetics, 2017The contribution of epistasis to human disease remains unclear. However, several studies have now identified epistatic interactions between common variants that increase the risk of a neuropsychiatric disorder, while there is growing evidence that genetic interactions contribute to the pathogenicity of rare, multigenic copy-number variants (CNVs) that ...
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Symbolic Modeling of Epistasis
Human Heredity, 2007The workhorse of modern genetic analysis is the parametric linear model. The advantages of the linear modeling framework are many and include a mathematical understanding of the model fitting process and ease of interpretation. However, an important limitation is that linear models make assumptions about the nature of the data being modeled.
Jiang Gui +5 more
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Science Translational Medicine, 2011
Mutations in human immunodeficiency virus genes work together to heighten drug resistance.
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Mutations in human immunodeficiency virus genes work together to heighten drug resistance.
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1979
Let I be a set containing n elements. In Sec. 4 of the previous chapter we defined the subsets P = {x ∈ RI: xi ≽ 0 for i ∈ i} and Δ = {x ∈ P: Σ xi = 1). By the formula I. (4.1) we defined the Shahshahani metric, a Riemannian metric on P = {x ∈ RI: xi > 0 for i ∈ I}. It restricts to a metric on Δ = Δ ∩ P. In Table 4 of Sec. I.4 we defined the maps Ea(x)
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Let I be a set containing n elements. In Sec. 4 of the previous chapter we defined the subsets P = {x ∈ RI: xi ≽ 0 for i ∈ i} and Δ = {x ∈ P: Σ xi = 1). By the formula I. (4.1) we defined the Shahshahani metric, a Riemannian metric on P = {x ∈ RI: xi > 0 for i ∈ I}. It restricts to a metric on Δ = Δ ∩ P. In Table 4 of Sec. I.4 we defined the maps Ea(x)
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2014
Genes act independently to influence organismal traits. Although Gregor Mendel studied some “dihybrid” crosses (those involving two genes) in his experiments on pea plants, the particular loci that he monitored proved to be independent in their effects on various of the plants’ phenotypes.
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Genes act independently to influence organismal traits. Although Gregor Mendel studied some “dihybrid” crosses (those involving two genes) in his experiments on pea plants, the particular loci that he monitored proved to be independent in their effects on various of the plants’ phenotypes.
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Linkage Disequilibrium or Epistasis?
Tissue Antigens, 1975Fritz H. Bach, Miriam Secall
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