MultiSourcCFS

1.circRNA-Disease association

We infer circRNA functional similarity by measuring the similarity of their associated disease DAG.

2.circRNA-GO association

we constructed 230,699 corpus, with 50. 409 categories, using the Skip-gram model in word2vec. Some of the codes we used refer to the following article： Smaili, F. Z. et al. (2018). Onto2vec: joint vector-based representation of biological entities and their ontology-based annotations. arXiv preprint arXiv:1802.00864. https://github.com/bio-ontology-research-group/onto2vec

3.circRNA sequence information

We applied chaos game representation to get functional similarity of circRNAs.

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