We model the prediction of binding sites on RNAs as a sequence labeling problem, and propose a new model called circSLNN to identify the specific location of RBP-binding sites on circRNAs. CircSLNN is driven by pretrained RNA embedding vectors and a composite labeling model.
keras 1.2.0 library
sklearn
python 2.7
./data: the dataset with label and sequence.
./src: the python code, it can be ran to reproduce our results.
CircSLNN: Identifying RBP-Binding Sites on circRNAs via Sequence Labeling Neural Networks