Predicting miRNA-Disease Associations Based On Multi-View Variational Graph Auto-Encoder With Matrix Factorization

MicroRNAs (miRNAs) have been proved to play critical roles in diverse biological processes, including the human disease development process. Exploring the potential associations between miRNAs and diseases can help us better understand complex disease mechanisms. Given that traditional biological ex...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics Jg. 26; H. 1; S. 446 - 457
Hauptverfasser:	Ding, Yulian, Lei, Xiujuan, Liao, Bo, Wu, Fang-Xiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Biological activity Biological system modeling Biology Coders Colon Colon cancer Computational Biology - methods Computational modeling Computer applications Disease Diseases Esophagus Factorization Feature extraction Genetic Predisposition to Disease Graph neural networks Graphical representations Humans Mathematical analysis Mathematical models MicroRNAs MicroRNAs - genetics miRNA miRNA-disease associations Neural networks Neural Networks, Computer non-negative matrix factorization Predictive models Similarity similarity network variational graph autoencoder
ISSN:	2168-2194, 2168-2208, 2168-2208
Online-Zugang:	Volltext
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