MFPred: prediction of ncRNA families based on multi-feature fusion.

Chen, Kai; Zhu, Xiaodong; Wang, Jiahao; Zhao, Ziqi; Hao, Lei; Guo, Xinsheng; Liu, Yuanning

Chen, Kai; Zhu, Xiaodong; Wang, Jiahao; Zhao, Ziqi; Hao, Lei; Guo, Xinsheng; Liu, Yuanning.

Afiliación

Chen K; College of Software, jilin University, Changchun, 130012, China.
Zhu X; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, jilin University, Changchun, 130012, China.
Wang J; College of Software, jilin University, Changchun, 130012, China.
Zhao Z; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, jilin University, Changchun, 130012, China.
Hao L; College of Computer Science and Technology, jilin University, Changchun, 130012, China.
Guo X; College of Software, jilin University, Changchun, 130012, China.
Liu Y; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, jilin University, Changchun, 130012, China.

Brief Bioinform ; 24(5)2023 09 20.

Article en En | MEDLINE | ID: mdl-37615358

Asunto(s)

Biología Computacional; ARN no Traducido; Humanos; Biología Computacional/métodos; ARN no Traducido/genética

Palabras clave

MFPred; ResNet_SE; dynamic Bi_GRU; feature fusion; ncRNA family

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / ARN no Traducido Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

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