BioinformaticsIEEE Transactions on Computational Biology and BioinformaticsPeer-reviewed
GAT-HiC: Efficient Reconstruction of 3D Chromosome Structure via Residual Graph Attention Neural Networks
GAT-HiC predicts 3D chromosome structure from Hi-C data using graph attention networks, showing generalization across different datasets and outperforming existing methods.