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Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine.
Islamaj Dogan, Rezarta; Kim, Sun; Chatr-Aryamontri, Andrew; Wei, Chih-Hsuan; Comeau, Donald C; Antunes, Rui; Matos, Sérgio; Chen, Qingyu; Elangovan, Aparna; Panyam, Nagesh C; Verspoor, Karin; Liu, Hongfang; Wang, Yanshan; Liu, Zhuang; Altinel, Berna; Hüsünbeyi, Zehra Melce; Özgür, Arzucan; Fergadis, Aris; Wang, Chen-Kai; Dai, Hong-Jie; Tran, Tung; Kavuluru, Ramakanth; Luo, Ling; Steppi, Albert; Zhang, Jinfeng; Qu, Jinchan; Lu, Zhiyong.
Afiliação
  • Islamaj Dogan R; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
  • Kim S; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
  • Chatr-Aryamontri A; Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, Canada.
  • Wei CH; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
  • Comeau DC; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
  • Antunes R; Department of Electronics, Telecommunications and Informatics (DETI)/Institute of Electronics and Informatics Engineering of Aveiro (IEETA), University of Aveiro, Aveiro, Portugal.
  • Matos S; Department of Electronics, Telecommunications and Informatics (DETI)/Institute of Electronics and Informatics Engineering of Aveiro (IEETA), University of Aveiro, Aveiro, Portugal.
  • Chen Q; School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia.
  • Elangovan A; School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia.
  • Panyam NC; School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia.
  • Verspoor K; School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia.
  • Liu H; Department of Health Science Research, Mayo Clinic, Rochester, MN, USA.
  • Wang Y; Department of Health Science Research, Mayo Clinic, Rochester, MN, USA.
  • Liu Z; School of Computer Science and Technology, Dalian University of Technology, Dalian, China.
  • Altinel B; Department of Computer Engineering, Marmara University, Istanbul, Turkey.
  • Hüsünbeyi ZM; Department of Computer Engineering, Bogaziçi University, Istanbul, Turkey.
  • Fergadis A; School of Electrical and Computer Engineering, National Technical University of Athens, Zografou, Athens, Greece.
  • Wang CK; Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan.
  • Dai HJ; Department of Electrical Engineering, National Kaousiung University of Science and Technology, Kaohsiung, Taiwan.
  • Tran T; Department of Computer Science, University of Kentucky, Lexington, KY, USA.
  • Kavuluru R; Division of Biomedical Informatics, Department of Internal Medicine, University of Kentucky, Lexington, KY, USA.
  • Luo L; College of Computer Science and Technology, Dalian University of Technology, Dalian, China.
  • Steppi A; Department of Statistics, Florida State University, Florida, USA.
  • Zhang J; Department of Statistics, Florida State University, Florida, USA.
  • Qu J; Department of Statistics, Florida State University, Florida, USA.
  • Lu Z; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
Database (Oxford) ; 20192019 01 01.
Article em En | MEDLINE | ID: mdl-30689846
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 Problema de saúde: 1_sistemas_informacao_saude Assunto principal: Software / Bases de Dados de Proteínas / Medicina de Precisão / Mineração de Dados / Mapas de Interação de Proteínas / Mutação Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Revista: Database (Oxford) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 Problema de saúde: 1_sistemas_informacao_saude Assunto principal: Software / Bases de Dados de Proteínas / Medicina de Precisão / Mineração de Dados / Mapas de Interação de Proteínas / Mutação Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Revista: Database (Oxford) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos