570-BayesPrism: Cell Type and Gene Expression Deconvolution

Paper Talk · Mar 1, 2026 · 20m

Researchers have developed a new statistical tool called BayesPrism to better understand the complex tumor microenvironment by combining different types of genetic data. While traditional single-cell sequencing provides detailed information, it is often too expensive and technically limited for large patient groups, whereas bulk RNA-seq is widely available but lacks cellular detail. BayesPrism uses a Bayesian strategy to accurately identify the specific types of cells within a tumor and determine their unique gene expression levels. This method has proven more reliable than previous…