Article
A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions.
IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000
Sheng Nan, Xie Xuping, Wang Yan, Huang Lan, Zhang Shuangquan, Gao Ling, Wang Hao
Abstract excerpt
MicroRNAs (miRNAs) are an important class of non-coding RNAs that play an essential role in the occurrence and development of various diseases. Identifying the potential miRNA-disease associations (MDAs) can be beneficial in understanding disease pathogenesis. Traditional laboratory experiments are expensive and time-consuming. Computational models have enabled systematic large-scale prediction of potential MDAs,...
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