Weicheng Ma

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.

The paper introduces ProSSL, a Transformer-based model using protein secondary structure to detect homology, outperforming traditional sequence-based methods in identifying distant homologs.