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Network-based prediction of drug-target interactions using an arbitrary-order proximity embedded deep forest.
Zeng, Xiangxiang; Zhu, Siyi; Hou, Yuan; Zhang, Pengyue; Li, Lang; Li, Jing; Huang, L Frank; Lewis, Stephen J; Nussinov, Ruth; Cheng, Feixiong.
Afiliação
  • Zeng X; Department of Computer Science, College of Information Science and Engineering, Hunan University, Changsha, Hunan 410082, China.
  • Zhu S; Department of Computer Science, Xiamen University, Xiamen 361005, China.
  • Hou Y; Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
  • Zhang P; Department of Biomedical Informatics, Ohio State University, Columbus, OH 43210, USA.
  • Li L; Department of Biomedical Informatics, Ohio State University, Columbus, OH 43210, USA.
  • Li J; Department of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH 44106, USA.
  • Huang LF; Division of Experimental Hematology and Cancer Biology, Brain Tumor Center, Cincinnati Children's Hospital Medical Center.
  • Lewis SJ; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA.
  • Nussinov R; Department of Pediatrics, Case Western Reserve University, Cleveland, OH 44106, USA.
  • Cheng F; Computational Structural Biology Section, Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute at Frederick, Frederick, MD 21702, USA.
Bioinformatics ; 36(9): 2805-2812, 2020 05 01.
Article em En | MEDLINE | ID: mdl-31971579
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Reposicionamento de Medicamentos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Reposicionamento de Medicamentos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido