Article

GAT-HiC: Efficient Reconstruction of 3D Chromosome Structure via Residual Graph Attention Neural Networks

2025-04-23

Abstract excerpt

Hi-C is an experimental technique to measure the genome-wide topological dynamics and three-dimensional (3D) shape of chromosomes indirectly via counting the number of interactions between distinct sets of loci. One can estimate the 3D shape of a chromosome over these indirect interaction datasets. Here, we come up with graph attention and residual network-based GAT-HiC to predict three-dimensional chromosome stru...

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Literature Corpus work: c8e48ad5-f09c-533e-9fb1-56a74f952e1e
DOI: 10.1101/2025.04.18.649477

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