Rapamycin - mTOR + BRAF = ? Using relational similarity to find therapeutically relevant drug-gene relationships in unstructured text

J Biomed Inform. 2019 Feb:90:103094. doi: 10.1016/j.jbi.2019.103094. Epub 2019 Jan 4.

¹ School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, United States. Electronic address: Safa.Fathiamini@uth.tmc.edu.
² Sheikh Khalifa Al Nahyan Ben Zayed Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
³ Sheikh Khalifa Al Nahyan Ben Zayed Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, United States; Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States; Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
⁴ School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, United States; Division of General Internal Medicine, Department of Internal Medicine, The University of Texas Health Science Center at Houston, TX, United States. Electronic address: Elmer.V.Bernstam@uth.tmc.edu.
⁵ Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States. Electronic address: cohenta@uw.edu.

Abstract

Keywords: Attributional similarity; Neural word embeddings; Pharmacogenomics; Precision oncology; Random Indexing; Relational similarity.