Skip to main content
Fig. 1 | BMC Biology

Fig. 1

From: A computational model of circRNA-associated diseases based on a graph neural network: prediction and case studies for follow-up experimental validation

Fig. 1

Structure and functionality of the online portal CircAD. CircAD builds a predictive model based on known experimentally verified associations between circRNAs and diseases and conducts experimental verification. CircDA includes dataset collation, heterogeneous network construction, classifier construction based on the Tumarkov neural network, HCC-based RT-qPCR experimental verification, and online server construction. CircAD provides users with an intuitive interface to browse, search, and predict circRNA-disease associations

Back to article page