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Prediction of protein ubiquitination sites via multi-view features based on eXtreme gradient boosting classifier.
Liu, Yushuang; Jin, Shuping; Song, Lili; Han, Yu; Yu, Bin.
Afiliação
  • Liu Y; College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, 266061, China; Artificial Intelligence and Biomedical Big Data Research Center, Qingdao University of Science and Technology, Qingdao, 266061, China.
  • Jin S; College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, 266061, China; Artificial Intelligence and Biomedical Big Data Research Center, Qingdao University of Science and Technology, Qingdao, 266061, China.
  • Song L; College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, 266061, China; Artificial Intelligence and Biomedical Big Data Research Center, Qingdao University of Science and Technology, Qingdao, 266061, China.
  • Han Y; College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, 266061, China; Artificial Intelligence and Biomedical Big Data Research Center, Qingdao University of Science and Technology, Qingdao, 266061, China.
  • Yu B; College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, 266061, China; Artificial Intelligence and Biomedical Big Data Research Center, Qingdao University of Science and Technology, Qingdao, 266061, China; Key Laboratory of Computational Science and Application of
J Mol Graph Model ; 107: 107962, 2021 09.
Article em En | MEDLINE | ID: mdl-34198216

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Processamento de Proteína Pós-Traducional Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Mol Graph Model Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Processamento de Proteína Pós-Traducional Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Mol Graph Model Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China