Computational identification of N4-methylcytosine sites in the mouse genome with machine-learning method.

Zulfiqar, Hasan; Khan, Rida Sarwar; Hassan, Farwa; Hippe, Kyle; Hunt, Cassandra; Ding, Hui; Song, Xiao-Ming; Cao, Renzhi

Zulfiqar, Hasan; Khan, Rida Sarwar; Hassan, Farwa; Hippe, Kyle; Hunt, Cassandra; Ding, Hui; Song, Xiao-Ming; Cao, Renzhi.

Afiliación

Zulfiqar H; School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Khan RS; School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Hassan F; School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Hippe K; Department of Computer Science, Pacific Lutheran University, Tacoma 98447, USA.
Hunt C; Department of Computer Science, Pacific Lutheran University, Tacoma 98447, USA.
Ding H; School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Song XM; School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Cao R; School of Life Sciences, North China University of Science and Technology, Tangshan, Hebei 063210, China.

Math Biosci Eng ; 18(4): 3348-3363, 2021 04 15.

Article en En | MEDLINE | ID: mdl-34198389

Asunto(s)

Citosina; ADN; Animales; Biología Computacional; Genoma; Aprendizaje Automático; Ratones; Programas Informáticos

Palabras clave

DNA modification; N4-methylcytosine; feature extraction; feature selection; random forest

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: ADN / Citosina Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals Idioma: En Revista: Math Biosci Eng Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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