Computational Deconvolution of Cancer Genomes and Transcriptomes - CGSI 2022

Explore cutting-edge computational techniques for deconvoluting cancer genomes and transcriptomes in this comprehensive lecture by Professor Wenyi Wang from MD Anderson Cancer Center. Delve into advanced methods for analyzing heterogeneous tumor samples, reconstructing subclonal architectures, and characterizing genetic intra-tumor heterogeneity. Examine groundbreaking research on tumor cell total mRNA expression and its impact on cancer phenotypes. Learn about innovative tools like CliP for DNA sequencing data analysis and MuSE for improved mutation calling sensitivity. Gain insights into transcriptome deconvolution of tumor samples with immune infiltration and discover how these computational approaches are shaping our understanding of cancer biology and potential therapeutic strategies.