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.

Affiliation

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 in En | MEDLINE | ID: mdl-35325033

Subject(s)

Oryza; Algorithms; Neural Networks, Computer; Oryza/genetics; Principal Component Analysis; Proteins/chemistry

Key words

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

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oryza Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Type: Article Affiliation country: China

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