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SAAED: Embedding and Deep Learning Enhance Accurate Prediction of Association Between circRNA and Disease
2022
Frontiers in Genetics
Emerging evidence indicates that circRNA can regulate various diseases. However, the mechanisms of circRNA in these diseases have not been fully understood. Therefore, detecting potential circRNA–disease associations has far-reaching significance for pathological development and treatment of these diseases. In recent years, deep learning models are used in association analysis of circRNA–disease, but a lack of circRNA–disease association data limits further improvement. Therefore, there is an
doi:10.3389/fgene.2022.832244
pmid:35273640
pmcid:PMC8902643
fatcat:kxnebhbixfe67dsgknqnwjlm5e