deepSOM

Novel machine learning tool for novel miRNA precursor prediction in genome-wide data. Approach is based on clustering unlabeled sequences of a genome together with well-known miRNA precursors for the organism under study, which allows for the quick identification of the best candidates to miRNA as those sequences clustered together with known precursors. A deepSOM model is used to overcome the problem of having very few positive class labels.