Wenxing Hu

The paper uses spatial transcriptomics to analyze cell-cell interactions in a cuprizone model, finding region-specific changes and partial translatability to multiple sclerosis lesions.

SpaceSequest provides a unified pipeline for analyzing spatial transcriptomics data from multiple platforms, enabling standardized processing, analysis, and visualization.

OTMalign optimizes TM-score for protein structure alignment using optimal transport, achieving fast and high-quality results on benchmark datasets.

iSCALE predicts super-resolution gene expression and annotates tissue architecture in large tissues, revealing features missed by conventional spatial transcriptomics.

CompBioAgent provides a user-friendly tool powered by LLMs to explore scRNA-seq data through natural language queries and visualizations.

ScaleSC provides a GPU-accelerated single-cell RNA-seq analysis pipeline with 20x speedup and scalability for large datasets.

SpatialPPI 2.0 predicts protein-protein interactions using graph neural networks and inter-residue analysis, outperforming existing methods and working with AlphaFold-predicted structures.