Xiangtao Li

Unveiling immune targets via TriStageHLA: high-throughput screening of peptide presentation, peptide-HLA binding, and immunogenicity

TriStageHLA improves epitope prioritization by integrating peptide screening, binding prediction, and immunogenicity assessment with high accuracy and efficiency.

GatorPrism: Prototype-Conditioned Routing across Coalition Graph Experts for Spatial Multi-Omics Integration

GatorPrism integrates spatial multi-omics data by balancing cross-omics consensus with modality-specific signals, achieving strong performance across clustering metrics and revealing tissue structure organization.

Unveiling multi-scale architectural features in single-cell Hi-C data using scCAFE

scCAFE is a deep learning model that detects multi-scale chromatin architectural features in single-cell Hi-C data, outperforming existing methods and enabling cell-type annotation from 3D genome features.

Drug Response Modeling across Cancers: Proteomics vs. Transcriptomics

This study compares proteomics and transcriptomics for drug response prediction in cancer cell lines, finding proteomics provides better performance.

Deciphering 3'UTR mediated gene regulation using interpretable deep representation learning

This paper introduces 3UTRBERT, a Transformer-based model for analyzing 3UTR sequences, achieving better performance in predicting RBP binding, m6A sites, and RNA localization.