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Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier.
Wei, Leyi; Xing, Pengwei; Zeng, Jiancang; Chen, JinXiu; Su, Ran; Guo, Fei.
Affiliation
  • Wei L; School of Computer Science and Technology, Tianjin University, Tianjin, China.
  • Xing P; School of Computer Science and Technology, Tianjin University, Tianjin, China.
  • Zeng J; School of Information Science and Technology, Xiamen University, Xiamen, China.
  • Chen J; School of Information Science and Technology, Xiamen University, Xiamen, China.
  • Su R; School of Software, Tianjin University, Tianjin, China.
  • Guo F; School of Computer Science and Technology, Tianjin University, Tianjin, China. Electronic address: guofeieileen@163.com.
Artif Intell Med ; 83: 67-74, 2017 Nov.
Article in En | MEDLINE | ID: mdl-28320624
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Natural Language Processing / Proteins / Computational Biology / Protein Interaction Maps Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Artif Intell Med Journal subject: INFORMATICA MEDICA Year: 2017 Document type: Article Affiliation country: China Country of publication: Netherlands
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Natural Language Processing / Proteins / Computational Biology / Protein Interaction Maps Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Artif Intell Med Journal subject: INFORMATICA MEDICA Year: 2017 Document type: Article Affiliation country: China Country of publication: Netherlands