Inferring Epistasis from Genetic Time-series Data.

Sohail, Muhammad Saqib; Louie, Raymond H Y; Hong, Zhenchen; Barton, John P; McKay, Matthew R

Sohail, Muhammad Saqib; Louie, Raymond H Y; Hong, Zhenchen; Barton, John P; McKay, Matthew R.

Afiliación

Sohail MS; Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong SAR, People's Republic of China.
Louie RHY; The Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia.
Hong Z; Department of Physics and Astronomy, University of California, Riverside, CA, USA.
Barton JP; Department of Physics and Astronomy, University of California, Riverside, CA, USA.
McKay MR; Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Mol Biol Evol ; 39(10)2022 10 07.

Article en En | MEDLINE | ID: mdl-36130322

Asunto(s)

Epistasis Genética; Selección Genética; Aptitud Genética; Ligamiento Genético; Modelos Genéticos; Mutación

Palabras clave

Bayesian inference; diffusion; epistasis; linkage; longitudinal data; path integral; selection; time-series data

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Selección Genética / Epistasis Genética Tipo de estudio: Prognostic_studies Idioma: En Revista: Mol Biol Evol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article

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