Improving Cell-type-specific 3D Genome Architectures Prediction Leveraging Graph Neural Networks
Ruoyun Wang, Weicheng Ma, Aryan Soltani Mohammadi, Saba Shahsavari, Soroush Vosoughi, Xiaofeng Wang
This paper introduces GRACHIP, a graph neural network model that improves prediction of cell-type-specific 3D genome architectures by incorporating genomic interaction information, showing better accuracy and generalizability than existing methods.
bioRxiv · May 21, 2024 · PreprintGenomics