Yuhao Chen

HPInet predicts host-pathogen protein-protein interactions using a transformer-based model, achieving high accuracy and identifying key residues from sequence data.

This paper introduces T6CNN, a model that improves T6SE prediction by integrating signal sequences, evolutionary data, and pre-trained features, achieving higher accuracy, sensitivity, and specificity than existing tools.

DeepFlu uses deep learning to predict symptomatic influenza A infection from pre-exposure gene expression, achieving higher accuracy than other models and the KLRD1 biomarker.

The paper develops a 3D-printing protocol and open-source software for creating standardized head molds for stereotaxic injections in neonatal mice, enabling reproducible and rapid mold generation across labs.