iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network.

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Bibliographic Details
Title: iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network.
Authors: Zhao BW; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China., Su XR; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China., Hu PW; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China., Huang YA; School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China., You ZH; School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China., Hu L; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2023 Aug 01; Vol. 39 (8).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1367-4811
DOI:10.1093/bioinformatics/btad451