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Deep learning of mutation-gene-drug relations from the literature.
Lee, Kyubum; Kim, Byounggun; Choi, Yonghwa; Kim, Sunkyu; Shin, Wonho; Lee, Sunwon; Park, Sungjoon; Kim, Seongsoon; Tan, Aik Choon; Kang, Jaewoo.
Afiliação
  • Lee K; Department of Computer Science and Engineering, Korea University, Seoul, South Korea.
  • Kim B; Interdisciplinary Graduate Program in Bioinformatics, Korea University, Seoul, South Korea.
  • Choi Y; Department of Computer Science and Engineering, Korea University, Seoul, South Korea.
  • Kim S; Department of Computer Science and Engineering, Korea University, Seoul, South Korea.
  • Shin W; Interdisciplinary Graduate Program in Bioinformatics, Korea University, Seoul, South Korea.
  • Lee S; Department of Computer Science and Engineering, Korea University, Seoul, South Korea.
  • Park S; Department of Computer Science and Engineering, Korea University, Seoul, South Korea.
  • Kim S; Department of Computer Science and Engineering, Korea University, Seoul, South Korea.
  • Tan AC; Translational Bioinformatics and Cancer Systems Biology Laboratory, Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA. aikchoon.tan@ucdenver.edu.
  • Kang J; Department of Computer Science and Engineering, Korea University, Seoul, South Korea. kangj@korea.ac.kr.
BMC Bioinformatics ; 19(1): 21, 2018 01 25.
Article em En | MEDLINE | ID: mdl-29368597

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Resistencia a Medicamentos Antineoplásicos / Ferramenta de Busca Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Resistencia a Medicamentos Antineoplásicos / Ferramenta de Busca Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article