Jason Yeung

This study uses spatial multi-omics to compare EBV-positive and EBV-negative cHL, identifying distinct TME features and immunological signatures linked to EBV.

The paper investigates how IL-1 receptor signaling dynamics are quantized and independent of ligand affinity using experimental and modeling approaches.

This study identifies how NITD-688 inhibits dengue virus by binding NS4B and disrupting its interaction with NS3, reducing viral replication.

This study introduces MicroCart, a framework for spatial multi-omics analysis of host-microbiome interactions in colitis, revealing tissue-level immune responses and microbial shifts.

This paper introduces IN-DEPTH and SGCC for spatial multi-omics analysis, revealing EBV-related immunomodulatory differences in DLBCL.

This paper introduces CellSNAP, a self-supervised method that integrates spatial, transcriptomic, and proteomic data to improve cell population delineation in spatial-omics datasets.

ViReMa is updated to detect recombination events in long-read sequencing data and reports various recombinant species in different viral contexts.

ViReMaShiny provides an interactive web tool for visualizing and analyzing viral recombination data in BED format, improving accessibility and downstream analysis.