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Explore transcriptomic deconvolution methods for analyzing heterogeneous tumor samples in this 53-minute conference talk from the Computational Genomics Summer Institute. Learn how to estimate cell type compositions and tumor cell mRNA expression levels in cancer tissues using computational approaches that account for immune infiltration. Discover frameworks that integrate single-cell sequencing data with benchmark datasets to accurately determine cell type ratios in complex tissue samples. Examine key methodologies for predicting disease progression across 15 different cancer types through tumor cell total mRNA expression estimation. Gain insights into cutting-edge deconvolution techniques that address the challenges of cellular heterogeneity in cancer research, with practical applications for understanding tumor microenvironments and immune cell infiltration patterns.
