Predicting biomedical relationships using the knowledge and graph embedding cascade model

Liang, X., Li, D., Songi, M. et al. (3 more authors) (2019) Predicting biomedical relationships using the knowledge and graph embedding cascade model. PLoS ONE, 14 (6). e0218264. ISSN 1932-6203

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Liang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: Algorithms; Biochemical Phenomena; Biomedical Research; Data Interpretation, Statistical; Databases, Factual; Gene Regulatory Networks; Humans; Knowledge; Knowledge Bases; Machine Learning; Models, Theoretical; Probability; Research Design; Semantics
Dates:
  • Accepted: 29 May 2019
  • Published (online): 13 June 2019
  • Published: June 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 24 May 2021 16:31
Last Modified: 26 May 2021 05:19
Status: Published
Publisher: Public Library of Science
Refereed: Yes
Identification Number: https://doi.org/10.1371/journal.pone.0218264
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