CALT-GNN: a graph neural network with cross-attention and long-tail experts for multi-omics cancer subtype classification
Abstract Cancer subtype classification based on molecular features is important for characterizing tumor heterogeneity, evaluating patient prognosis, and supporting precision treatment. Multi-omics integration provides complementary molecular information across genomic, epigenomic, transcriptomic, and proteomic levels....
Ke Wang, Jinbo Zheng, Lulu Zhao et al.
· BMC Bioinformatics · 0 citations