Interpretable and Context-Free Deconvolution of Multiscale Transcriptomic Lung Cancer Data

Watch this invited speaker presentation from the Cancer Genomics Consortium (CGC) 2024 Annual Meeting where Robert Sebra discusses interpretable and context-free deconvolution of multi-scale transcriptomic lung cancer data. Explore advanced techniques for analyzing complex genomic data in lung cancer research through this 30-minute talk. The presentation is part of CGC's mission to promote best practices in clinical cancer genomics and support accurate diagnosis of underlying genomic alterations to help patients receive appropriate therapy. The Cancer Genomics Consortium represents clinical cytogeneticists, molecular geneticists, and molecular pathologists dedicated to education and excellence in clinical cancer genomics testing.