Juntao Tony Gao

Sequential-GAM constructs the single-cell geometric 3D genome structure by estimating radial positions and hierarchical organization of chromosomes and genes.

This paper introduces DEPAF, a self-contrastive learning method for fluorescence microscopy signal detection that is interference-resilient and generalizable without requiring interference modeling.

This paper introduces a deep learning model to predict neoantigens by integrating HLA-peptide binding and immunogenicity, achieving better performance than existing methods.

This paper presents a hybrid neuro-fuzzy system for automated gastric bleeding lesion segmentation in endoscopy images, achieving high accuracy and robustness against noise.

The paper shows that transcriptional responses to thermal stress in human cells are prewired in the 3D genome, with chromatin and epigenetic settings playing a key role.

This paper introduces GEM-FISH, a method that integrates Hi-C and FISH data to improve 3D chromosome modeling, showing better accuracy in TADs, compartments, and super-enhancer distributions than Hi-C alone.