Tensor Decomposition-based Feature Extraction and Classification to Detect Natural Selection from Genomic Data.

Amin, Md Ruhul; Hasan, Mahmudul; Arnab, Sandipan Paul; DeGiorgio, Michael

Amin, Md Ruhul; Hasan, Mahmudul; Arnab, Sandipan Paul; DeGiorgio, Michael.

Afiliación

Amin MR; Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA.
Hasan M; Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA.
Arnab SP; Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA.
DeGiorgio M; Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA.

Mol Biol Evol ; 40(10)2023 10 04.

Article en En | MEDLINE | ID: mdl-37772983

Asunto(s)

Inteligencia Artificial; Genómica; Humanos; Genómica/métodos; Redes Neurales de la Computación; Aprendizaje Automático; Selección Genética

Palabras clave

candecomp/parafac; dimensionality reduction; positive natural selection; tensor decomposition

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Genómica Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Mol Biol Evol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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