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A systematic review of state-of-the-art strategies for machine learning-based protein function prediction.
Yan, Tian-Ci; Yue, Zi-Xuan; Xu, Hong-Quan; Liu, Yu-Hong; Hong, Yan-Feng; Chen, Gong-Xing; Tao, Lin; Xie, Tian.
Afiliación
  • Yan TC; Key Laboratory of Elemene Class Anti-cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China.
  • Yue ZX; Key Laboratory of Elemene Class Anti-cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China.
  • Xu HQ; Key Laboratory of Elemene Class Anti-cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China.
  • Liu YH; Key Laboratory of Elemene Class Anti-cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China.
  • Hong YF; Key Laboratory of Elemene Class Anti-cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China.
  • Chen GX; Key Laboratory of Elemene Class Anti-cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China.
  • Tao L; Key Laboratory of Elemene Class Anti-cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China. Electronic address: taolin@hznu.edu.cn.
  • Xie T; Key Laboratory of Elemene Class Anti-cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China. Electronic address: xbs@hznu.edu.cn.
Comput Biol Med ; 154: 106446, 2023 03.
Article en En | MEDLINE | ID: mdl-36680931
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Proteínas / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Comput Biol Med Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
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PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Proteínas / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Comput Biol Med Año: 2023 Tipo del documento: Article País de afiliación: China