Your browser doesn't support javascript.
loading
PreDTIs: prediction of drug-target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques.
Mahmud, S M Hasan; Chen, Wenyu; Liu, Yongsheng; Awal, Md Abdul; Ahmed, Kawsar; Rahman, Md Habibur; Moni, Mohammad Ali.
Affiliation
  • Mahmud SMH; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
  • Chen W; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
  • Liu Y; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
  • Awal MA; Electronics and Communication Engineering Discipline, Khulna University, Khulna 9208, Bangladesh.
  • Ahmed K; Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh.
  • Rahman MH; Department of Computer Science and Engineering, Islamic University, Kushtia-7003, Bangladesh.
  • Moni MA; UNSW Digital Health, WHO Center for eHealth, School of Public Health and Community Medicine, Faculty of Medicine, The University of New South Wales, Sydney, Australia.
Brief Bioinform ; 22(5)2021 09 02.
Article in En | MEDLINE | ID: mdl-33709119
Subject(s)
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pharmaceutical Preparations / Proteins / Computational Biology Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: China
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pharmaceutical Preparations / Proteins / Computational Biology Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: China