DeepMirTar: a deep-learning approach for predicting human miRNA targets.

Wen, Ming; Cong, Peisheng; Zhang, Zhimin; Lu, Hongmei; Li, Tonghua

Wen, Ming; Cong, Peisheng; Zhang, Zhimin; Lu, Hongmei; Li, Tonghua.

Afiliación

Wen M; College of Chemistry and Chemical Engineering, Central South University, Changsha, People's Republic of China.
Cong P; School of Chemical Science and Engineering, Tongji University, Shanghai, People's Republic of China.
Zhang Z; College of Chemistry and Chemical Engineering, Central South University, Changsha, People's Republic of China.
Lu H; College of Chemistry and Chemical Engineering, Central South University, Changsha, People's Republic of China.
Li T; School of Chemical Science and Engineering, Tongji University, Shanghai, People's Republic of China.

Bioinformatics ; 34(22): 3781-3787, 2018 11 15.

Article en En | MEDLINE | ID: mdl-29868708

Asunto(s)

Aprendizaje Automático; Algoritmos; Biología Computacional; Regulación de la Expresión Génica; Humanos; MicroARNs; Interferencia de ARN; ARN Mensajero

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article Pais de publicación: Reino Unido

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