Keqin Li

GenoM7GNet is a deep learning model for predicting N7-methylguanosine sites using a nucleotide language model, achieving high accuracy and outperforming existing methods.

The paper identifies driver patterns in ovarian cancer drug response by integrating genomics data and analyzing gene co-expression and mutation networks.