miRNA-SOM is a tool for the discovery of pre-miRNA in the E. multilocularis genome through a novel approach based on machine learning. Structural features have been extracted from sequences data and have been used to train a novel architecture of self-organizing maps. This model can be trained with a high class imbalance and without the artificial definition of a negative class.
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Contact: Georgina Stegmayer