miPEPPred-FRL: A Novel Method for Predicting Plant MiRNA-Encoded Peptides Using Adaptive Feature Representation Learning.

Li, Haibin; Meng, Jun; Wang, Zhaowei; Tang, Youwei; Xia, Shihao; Wang, Yu; Qin, Zhaojing; Luan, Yushi

Li, Haibin; Meng, Jun; Wang, Zhaowei; Tang, Youwei; Xia, Shihao; Wang, Yu; Qin, Zhaojing; Luan, Yushi.

Afiliação

Li H; School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China.
Meng J; School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China.
Wang Z; School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China.
Tang Y; School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China.
Xia S; School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China.
Wang Y; School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China.
Qin Z; School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China.
Luan Y; School of Bioengineering, Dalian University of Technology, Dalian, Liaoning 116024, China.

J Chem Inf Model ; 64(7): 2889-2900, 2024 Apr 08.

Article em En | MEDLINE | ID: mdl-37733290

Assuntos

MicroRNAs; MicroRNAs/química; Plantas; Peptídeos; Biologia Computacional/métodos

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: MicroRNAs Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article

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