GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm
by Lei Wang, Zhu-Hong You, Yang-Ming Li, Kai Zheng, Yu-An Huang
Numerous evidences indicate that Circular RNAs (circRNAs) are widely involved in the occurrence and development of diseases. Identifying the association between circRNAs and diseases plays a crucial role in exploring the pathogenesis of complex diseases and improving the diagnosis and treatment of diseases. However, due to the complex mechanisms between circRNAs and diseases, it is expensive and time-consuming to discover the... Читать дальше...
