Data-Driven
Cancer Biology

News and Events


08-22-2024
Our review on computational advances in single-cell and spatial transcriptomics is published in Nature Reviews Molecular Cell Biology. Congrats to Gun, Jeremy, and team!
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06-09-2024
Janella Schwab (Bioengineering) has officially joined the lab. Welcome!
02-02-2024
Samuel Ho (Medical student) has officially joined the lab. Welcome!
11-01-2023
Aaron honored w/ the Daisy Ho Memorial Award from the Dept. of Experimental Therapeutics, MD Anderson Cancer Center.
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Digital Cytometry

Tissue composition is a major determinant of phenotypic variation and a key factor influencing disease outcomes. Although single cell RNA sequencing has emerged as a powerful technique for characterizing cellular heterogeneity, it is currently impractical for large sample cohorts and cannot be applied to fixed specimens collected as part of routine clinical care. To overcome these challenges, we have developed new platforms for digital cytometry, including CIBERSORTx, EcoTyper, and CytoSPACE. These approaches leverage single-cell RNA sequencing and expression deconvolution, enabling large-scale and spatially-informed cell profiling of complex tissue specimens. We are currently applying these frameworks to address multiple biological and clinical questions of interest across diverse tumor types.