Aryan Soltani Mohammadi

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.

This paper introduces new randstrobe construction methods, identifies biases in previous approaches, and improves accuracy in short-read mapping.