Article
A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder.
IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000
Ji Cunmei, Wang Yutian, Gao Zhen, Li Lei, Ni Jiancheng, Zheng Chunhou
Abstract excerpt
MicroRNAs (miRNAs) are a class of non-coding RNAs that play critical role in many biological processes, such as cell growth, development, differentiation and aging. Increasing studies have revealed that miRNAs are closely involved in many human diseases. Therefore, the prediction of miRNA-disease associations is of great significance to the study of the pathogenesis, diagnosis and intervention of human disease....
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