Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction-Reference-Cited by-同舟云学术

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Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction

Published:2024-07 Issue:7 Volume:28 Page:4306-4316
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Xuan Ping¹^ORCID,Wang Xiuju²^ORCID,Cui Hui³^ORCID,Meng Xiangfeng²,Nakaguchi Toshiya⁴^ORCID,Zhang Tiangang²^ORCID

Affiliation:

1. Department of Computer Science, Shantou University, Shantou, China

2. School of Computer Science and Technology, Heilongjiang University, Harbin, China

3. Department of Computer Science and Information Technology, La Trobe University, Melbourne, Australia

4. Center for Frontier Medical Engineering, Chiba University, Chiba, Japan

Funder

National Natural Science Foundation of China

STU Scientific Research Initiation

Natural Science Foundation of Heilongjiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10582272/10520893.pdf?arnumber=10520893

Reference42 articles.

1. Regulation of microRNA function in animals

2. Trends in the development of miRNA bioinformatics tools

3. MicroRNAs and complex diseases: from experimental results to computational models

4. Systems and Synthetic microRNA Biology: From Biogenesis to Disease Pathogenesis

5. Adaptive boosting-based computational model for predicting potential miRNA-disease associations

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