DeepciRGO is a computational method for microRNA Gene Ontology function prediction. It constructed a global heterogeneous network through circRNA co-expression, circRNA-protein association, and protein-protein interaction data. The potential network feature vector of the global network is extracted by Hin2vec and are further used for the construction of deep neural network classifier to predict circRNA Gene Ontology function.

The source code and data of DeepciRGO are available at: download