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Article

DAE-CFR: detecting microRNA-disease associations using deep autoencoder and combined feature representation.

BMC bioinformatics - 29 Mar 2024

Liu Yanling, Zhang Ruiyan, Dong Xiaojing, Yang Hong, Li Jing, Cao Hongyan, Tian Jing, Zhang Yanbo

Abstract excerpt

BACKGROUND: MicroRNA (miRNA) has been shown to play a key role in the occurrence and progression of diseases, making uncovering miRNA-disease associations vital for disease prevention and therapy. However, traditional laboratory methods for detecting these associations are slow, strenuous, expensive, and uncertain. Although numerous advanced algorithms have emerged, it is still a challenge to develop more...

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PMID: 38553698
DOI: 10.1186/s12859-024-05757-y
PMCID: PMC10981315

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