Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning-Reference-Cited by-同舟云学术

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Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning

Published:2019-11 Issue:6 Volume:23 Page:2619-2632
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Ding Yijie,Tang Jijun^ORCID,Guo Fei^ORCID

Funder

National Natural Science Foundation of China

Application Foundation and Advanced Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/6221020/8894179/08550713.pdf?arnumber=8550713

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3. BiRNN-DDI: A Drug-Drug Interaction Event Type Prediction Model Based on Bidirectional Recurrent Neural Network and Graph2Seq Representation;Journal of Computational Biology;2024-07-25

4. Fingerprint-Based Side Effect Prediction using Artificial Neural Network Optimized by Bat Algorithm: Case Study Metabolism and Nutrition Disorders;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

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