GIN-CRC-Pareto: A graph-based Pareto-optimal multi-task learning framework to identify miRNA-target interactions in colorectal cancer
Lin Li, Qiang Yang, Lu Li, Hongru Zhao, Jie Xu, Mingyi Xie, Rui Yin
GIN-CRC-Pareto identifies miRNA-target interactions in colorectal cancer using a graph-based multi-task learning framework, outperforming existing methods in accuracy and AUC.
Journal of Biomedical Informatics · Sep 6, 2026Peer-reviewedBioinformatics