Jonathan Bac

The paper evaluates Xenium spatial transcriptomics performance, identifies technical limitations, and introduces SPLIT to improve signal purity and cell-type resolution.

This study develops a platform to analyze spatial heterogeneity in colorectal tumor organoids using spatial transcriptomics and validates it against single-cell and tumor spatial data.

This paper shows that reducing hubness in single-cell RNA-seq data improves clustering and trajectory inference compared to traditional dimensionality reduction methods.