Tensor product graph diffusion based on nonlinear fusion of multi-source information to predict circRNA-disease associations

Hao Liu, Chen Chen, Ying Su, Enguang Zuo, Lijun Wu, Min Li, Xuecong Tian, Chenjie Chang, Zhiyuan Cheng, Xiaoyi Lv, Cheng Chen

Abstract: Highlights•The identification of potentially related circRNAs is important for modern medicine.•This study uses Similarity network fusion to fully fuse multi-source information.•This study uses Tensor product graph diffusion to diffuse similarity information.•SNFTPGd-CDA has good robustness and excellent ability to predict CDAs.