A machine learning and network framework to discover new indications for small molecules.

Gilvary, Coryandar; Elkhader, Jamal; Madhukar, Neel; Henchcliffe, Claire; Goncalves, Marcus D; Elemento, Olivier

Gilvary, Coryandar; Elkhader, Jamal; Madhukar, Neel; Henchcliffe, Claire; Goncalves, Marcus D; Elemento, Olivier.

Afiliação

Gilvary C; HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Dept. of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, United States of America.
Elkhader J; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York, United States of America.
Madhukar N; Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, New York, United States of America.
Henchcliffe C; Tri-Institutional Training Program in Computational Biology and Medicine, New York, New York, United States of America.
Goncalves MD; HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Dept. of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, United States of America.
Elemento O; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York, United States of America.

PLoS Comput Biol ; 16(8): e1008098, 2020 08.

Article em En | MEDLINE | ID: mdl-32764756

Assuntos

Biologia Computacional/métodos; Reposicionamento de Medicamentos/métodos; Aprendizado de Máquina; Software; Algoritmos; Antiparkinsonianos; Hipoglicemiantes; Modelos Estatísticos

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Reposicionamento de Medicamentos / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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