Your browser doesn't support javascript.
loading
MEDICI: Mining Essentiality Data to Identify Critical Interactions for Cancer Drug Target Discovery and Development.
Harati, Sahar; Cooper, Lee A D; Moran, Josue D; Giuste, Felipe O; Du, Yuhong; Ivanov, Andrei A; Johns, Margaret A; Khuri, Fadlo R; Fu, Haian; Moreno, Carlos S.
Afiliação
  • Harati S; Department of Biomedical Informatics, Emory University, Atlanta, Georgia, United States of America.
  • Cooper LA; Graduate Program in Biomedical Informatics, Emory University, Atlanta, Georgia, United States of America.
  • Moran JD; Department of Biomedical Informatics, Emory University, Atlanta, Georgia, United States of America.
  • Giuste FO; Winship Cancer Institute, Emory University, Atlanta, Georgia, United States of America.
  • Du Y; Department of Biomedical Engineering, Emory University, Atlanta, Georgia, United States of America.
  • Ivanov AA; Graduate Program in Cancer Biology, Emory University, Atlanta, Georgia, United States of America.
  • Johns MA; Department of Pathology and Laboratory Medicine, Emory University, Atlanta, Georgia, United States of America.
  • Khuri FR; Medical Scientist Training Program, Emory University, Atlanta, Georgia, United States of America.
  • Fu H; Winship Cancer Institute, Emory University, Atlanta, Georgia, United States of America.
  • Moreno CS; Department of Pharmacology, Emory University, Atlanta, Georgia, United States of America.
PLoS One ; 12(1): e0170339, 2017.
Article em En | MEDLINE | ID: mdl-28118365
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Descoberta de Drogas / Mineração de Dados / Proteínas de Neoplasias / Antineoplásicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Descoberta de Drogas / Mineração de Dados / Proteínas de Neoplasias / Antineoplásicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article