TY  - JOUR
AU  - Niu, Mengting
AU  - Wang, Chunyu
AU  - Zhang, Zhanguo
AU  - Zou, Quan
PY  - 2024
DA  - 2024/01/29
TI  - A computational model of circRNA-associated diseases based on a graph neural network: prediction and case studies for follow-up experimental validation
JO  - BMC Biology
SP  - 24
VL  - 22
IS  - 1
AB  - Circular RNAs (circRNAs) have been confirmed to play a vital role in the occurrence and development of diseases. Exploring the relationship between circRNAs and diseases is of far-reaching significance for studying etiopathogenesis and treating diseases. To this end, based on the graph Markov neural network algorithm (GMNN) constructed in our previous work GMNN2CD, we further considered the multisource biological data that affects the association between circRNA and disease and developed an updated web server CircDA and based on the human hepatocellular carcinoma (HCC) tissue data to verify the prediction results of CircDA.
SN  - 1741-7007
UR  - https://doi.org/10.1186/s12915-024-01826-z
DO  - 10.1186/s12915-024-01826-z
ID  - Niu2024
ER  -