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Open Access
Peer-reviewed
Research Article
A machine learning and network framework to discover new indications for small molecules
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Coryandar Gilvary ,
Contributed equally to this work with: Coryandar Gilvary, Jamal Elkhader
Roles Conceptualization, Data curation, Formal analysis, Writing – original draft, Writing – review & editing
Affiliations 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, Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York, United States of America, Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, New York, United States of America, Tri-Institutional Training Program in Computational Biology and Medicine, New York, New York, United States of America
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Jamal Elkhader ,
Contributed equally to this work with: Coryandar Gilvary, Jamal Elkhader
Roles Conceptualization, Data curation, Formal analysis, Writing – original draft, Writing – review & editing
Affiliations 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, Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York, United States of America, Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, New York, United States of America, Tri-Institutional Training Program in Computational Biology and Medicine, New York, New York, United States of America
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Neel Madhukar,
Roles Conceptualization, Writing – review & editing
Affiliation OneThree Biotech, New York, New York, United States of America
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Claire Henchcliffe,
Roles Validation, Writing – review & editing
Affiliation Department of Neurology, Weill Cornell Medicine, New York, New York, United States of America
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Marcus D. Goncalves,
Roles Validation, Writing – review & editing
Affiliations Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, New York, United States of America, Division of Endocrinology, Department of Medicine, Weill Cornell Medicine, New York, New York, United States of America
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Olivier Elemento
Roles Conceptualization, Data curation, Supervision, Writing – review & editing
* E-mail: ole2001@med.cornell.edu
Affiliations 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, Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York, United States of America, Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, New York, United States of America, Tri-Institutional Training Program in Computational Biology and Medicine, New York, New York, United States of America, OneThree Biotech, New York, New York, United States of America, WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, New York, United States of America
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A machine learning and network framework to discover new indications for small molecules
- Coryandar Gilvary,
- Jamal Elkhader,
- Neel Madhukar,
- Claire Henchcliffe,
- Marcus D. Goncalves,
- Olivier Elemento
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- Published: August 7, 2020
- https://doi.org/10.1371/journal.pcbi.1008098
- See the preprint