Empirical Bayes Matrix Factorization and Parts-Based Representations

Explore empirical Bayes matrix factorization and parts-based representations in this 49-minute conference talk by Matthew Stephens at the Computational Genomics Summer Institute (CGSI) 2024. Delve into advanced statistical techniques for analyzing complex genomic data, drawing insights from related papers on matrix factorization and tumor transcriptional heterogeneity. Gain a deeper understanding of how these methods can be applied to dissect and interpret single-cell RNA-seq data, uncovering valuable insights in computational genomics and bioinformatics.