Your browser doesn't support javascript.
loading
Correction to Analyzing Learned Molecular Representations for Property Prediction.
Yang, Kevin; Swanson, Kyle; Jin, Wengong; Coley, Connor; Eiden, Philipp; Gao, Hua; Guzman-Perez, Angel; Hopper, Timothy; Kelley, Brian; Mathea, Miriam; Palmer, Andrew; Settels, Volker; Jaakkola, Tommi; Jensen, Klavs; Barzilay, Regina.
Afiliação
  • Yang K; Computer Science and Artificial Intelligence Laboratory , MIT , Cambridge , Massachusetts 02139 , United States.
  • Swanson K; Computer Science and Artificial Intelligence Laboratory , MIT , Cambridge , Massachusetts 02139 , United States.
  • Jin W; Computer Science and Artificial Intelligence Laboratory , MIT , Cambridge , Massachusetts 02139 , United States.
  • Coley C; Department of Chemical Engineering , MIT , Cambridge , Massachusetts 02139 , United States.
  • Eiden P; BASF SE , Ludwigshafen 67063 , Germany.
  • Gao H; Amgen Inc. , Cambridge , Massachusetts 02141 , United States.
  • Guzman-Perez A; Amgen Inc. , Cambridge , Massachusetts 02141 , United States.
  • Hopper T; Amgen Inc. , Cambridge , Massachusetts 02141 , United States.
  • Kelley B; Novartis Institutes for BioMedical Research , Cambridge , Massachusetts 02139 , United States.
  • Mathea M; BASF SE , Ludwigshafen 67063 , Germany.
  • Palmer A; BASF SE , Ludwigshafen 67063 , Germany.
  • Settels V; BASF SE , Ludwigshafen 67063 , Germany.
  • Jaakkola T; Computer Science and Artificial Intelligence Laboratory , MIT , Cambridge , Massachusetts 02139 , United States.
  • Jensen K; Department of Chemical Engineering , MIT , Cambridge , Massachusetts 02139 , United States.
  • Barzilay R; Computer Science and Artificial Intelligence Laboratory , MIT , Cambridge , Massachusetts 02139 , United States.
J Chem Inf Model ; 59(12): 5304-5305, 2019 Dec 23.
Article em En | MEDLINE | ID: mdl-31814400
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Chem Inf Model Assunto da revista: INFORMATICA MEDICA / QUIMICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Chem Inf Model Assunto da revista: INFORMATICA MEDICA / QUIMICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos