Hua Wang Shi

GeoEPred improves effector protein prediction by integrating sequence and structural information to better model functional motifs and spatial conformations.

This paper introduces MoCETSE, a deep learning model that improves prediction of Gram-negative bacterial effector proteins by combining convolutional experts and transformers with relative positional encoding.

DiffusionST improves spatial transcriptomics data quality and identifies spatial domains through a diffusion model and graph convolutional network.