@article{76a921cd2b154ea3bdd99db2157c0857,
title = "Rapamycin − mTOR + BRAF = ? Using relational similarity to find therapeutically relevant drug-gene relationships in unstructured text",
keywords = "Attributional similarity, Neural word embeddings, Pharmacogenomics, Precision oncology, Random Indexing, Relational similarity",
author = "Safa Fathiamini and Johnson, {Amber M.} and Jia Zeng and Vijaykumar Holla and Sanchez, {Nora S.} and Funda Meric-Bernstam and Bernstam, {Elmer V.} and Trevor Cohen",
note = "Funding Information: The work was supported in part by the U.S. National Library of Medicine Grant ( R01LM011563 ), Using Biomedical Knowledge to Identify Plausible Signals for Pharmacovigilance, and by NIGMS grant R01 GM103859 , NCI U01 CA180964 , Sheikh Bin Zayed Al Nahyan Foundation , Cancer Prevention Research Institute of Texas (CPRIT) Precision Oncology Decision Support Core RP150535 and Data Science and Informatics Core for Cancer Research ( RP170668 ), NCATS grant UL1 TR000371 (Center for Clinical and Translational Sciences), TL1TR001104 (UT Southwestern Center for Translational Medicine), the Bosarge Foundation , and the MD Anderson Cancer Center Support grant ( NCI P30 CA016672 ).",
year = "2019",
month = feb,
doi = "10.1016/j.jbi.2019.103094",
language = "English (US)",
volume = "90",
journal = "Journal of Biomedical Informatics",
issn = "1532-0464",
publisher = "Academic Press Inc.",
}