Predicting the function of rice proteins through Multi-instance Multi-label Learning based on multiple features fusion.

Liu, Jing; Tang, Xinghua; Cui, Shuanglong; Guan, Xiao

Liu, Jing; Tang, Xinghua; Cui, Shuanglong; Guan, Xiao.

Afiliação

Liu J; Information Engineering College, Shanghai Maritime University, 201306 Shanghai, China.
Tang X; Information Engineering College, Shanghai Maritime University, 201306 Shanghai, China.
Cui S; Information Engineering College, Shanghai Maritime University, 201306 Shanghai, China.
Guan X; School of Health Science and Engineering, University of Shanghai for Science and Technology, 200093 Shanghai, China.

Brief Bioinform ; 23(3)2022 05 13.

Article em En | MEDLINE | ID: mdl-35325033

Assuntos

Oryza; Algoritmos; Redes Neurais de Computação; Oryza/genética; Análise de Componente Principal; Proteínas/química

Palavras-chave

feature extraction; kernel function; machine learning; multi-instance multi-label learning; protein function prediction; rice

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oryza Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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