HiC-GNN: A Generalizable Model for 3D Chromosome Reconstruction Using Graph Convolutional Neural Networks
Van Hovenga, Jugal Kumar Kalita, Oluwatosin Oluwadare
This paper introduces HiC-GNN, a graph neural network for 3D chromosome reconstruction from Hi-C data, showing superior accuracy and generalization across resolutions and cell lines.
Computational and Structural Biotechnology Journal · Dec 31, 2022Peer-reviewedBioinformatics