Enhancing Drug-Drug Interaction Prediction Using Deep Attention Neural Networks
Author:
Affiliation:
1. College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China
2. Electronic Information School, Wuhan University, Wuhan, Hubei, China
3. Computer Science Department, Binghamton University, Binghamton, NY, USA
Funder
National Natural Science Foundation of China
Huazhong Agricultural University Scientific & Technological Self-Innovation Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Genetics,Biotechnology
Link
http://xplorestaging.ieee.org/ielx7/8857/10091711/09769862.pdf?arnumber=9769862
Reference53 articles.
1. Predicting Drug-Drug Interactions Through Large-Scale Similarity-Based Link Prediction
2. Machine learning-based prediction of drug–drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties
3. Predicting Pharmacodynamic Drug-Drug Interactions through Signaling Propagation Interference on Protein-Protein Interaction Networks
4. Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects
5. Drug—drug interaction through molecular structure similarity analysis
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