HIGHLIGHTS
- who: Long Xu et al. from the School of Computer Science and Technology, Heilongjiang University, Harbin, China, Postdoctoral Program of Heilongjiang have published the article: Application of Bidirectional Generative Adversarial Networks to Predict Potential miRNAs Associated With Diseases, in the Journal: (JOURNAL) of 27/03/2019
- what: In this study, a creative computational model named bidirectional generative adversarial network (BGANMDA) is proposed to predict potential pairwise miRNA-disease associations. The experimental results of this study reveal that BGANMDA is robust and has a strong representational learning ability to predict potential miRNA-disease associations and, compared . . .
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