TransFOL: A Logical Query Model for Complex Relational Reasoning in Drug-Drug Interaction-Reference-Cited by-同舟云学术

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TransFOL: A Logical Query Model for Complex Relational Reasoning in Drug-Drug Interaction

Published:2024-08 Issue:8 Volume:28 Page:4975-4985
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Cheng Junkai¹^ORCID,Zhang Yijia¹^ORCID,Zhang Hengyi²^ORCID,Ji Shaoxiong³^ORCID,Lu Mingyu⁴^ORCID

Affiliation:

1. Information Science and Technology College, Dalian Maritime University, Dalian, China

2. SWUFE-UD Institute of Data Science, Southwestern University of Finance and Economics, Chengdu, China

3. Department of Digital Humanities, University of Helsinki, Helsinki, Finland

4. College of Artificial Intelligence, Dalian Maritime University, Dalian, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10625760/10530338.pdf?arnumber=10530338

Reference41 articles.

1. Machine learning-based prediction of drug–drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties

2. A Comprehensive Review of Computational Methods for Drug-drug Interaction Detection

3. Integrative relational machine-learning for understanding drug side-effect profiles

4. Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs

5. CNN-DDI: a learning-based method for predicting drug–drug interactions using convolution neural networks

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