Deep neural architectures for highly imbalanced data in bioinformatics

Abstract

In this work, we present two new variants to the deepSOM model: the deep elastic SOM (deSOM) and the deep ensemble elastic SOM (deeSOM), which overcome the mentioned issues. In deSOM the number of deep levels not only grows automatically, but also the size of each layer is expanded adaptively according to the data at each level, thus pre-miRNA neurons can be re-organized in a larger space.