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RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences.
An, Ji-Yong; You, Zhu-Hong; Meng, Fan-Rong; Xu, Shu-Juan; Wang, Yin.
Affiliation
  • An JY; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 21116, China. ajy@cumt.edu.cn.
  • You ZH; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 21116, China. zhuhongyou@cumt.edu.cn.
  • Meng FR; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 21116, China. mengfr@cumt.edu.cn.
  • Xu SJ; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 21116, China. ajysjm@163.com.
  • Wang Y; School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 21116, China. yinwang@cumt.edu.cn.
Int J Mol Sci ; 17(5)2016 May 18.
Article in En | MEDLINE | ID: mdl-27213337
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology / Sequence Analysis, Protein / Protein Interaction Mapping Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Int J Mol Sci Year: 2016 Document type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology / Sequence Analysis, Protein / Protein Interaction Mapping Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Int J Mol Sci Year: 2016 Document type: Article