Article
Prediction of miRNA-disease Associations using an Evolutionary Tuned Latent Semantic Analysis.
Scientific reports - 5 Sept 2017
Pallez Denis, Gardès Julien, Pasquier Claude
Abstract excerpt
MicroRNAs, small non-coding elements implied in gene regulation, are very interesting biomarkers for various diseases such as cancers. They represent potential prodigious biotechnologies for early diagnosis and gene therapies. However, experimental verification of microRNA-disease associations are time-consuming and costly, so that computational modeling is a proper solution. Previously, we designed MiRAI, a...
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