MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information
Abstract: Highlights•MDA-CF is developed for miRNA-disease association prediction using cascade forest.•Multiple source of information is combined to represent miRNAs and diseases.•The autoencoder is utilized to obtain representative feature space.•MDA-CF combines the bagging method random forest and the boosting method xgboost.
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