Empirical Bayes Matrix Factorization and Parts-Based Representations
Offered By: Computational Genomics Summer Institute CGSI via YouTube
Course Description
Overview
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.
Syllabus
Matthew Stephens | Empirical Bayes Matrix Factorization and Parts based Representations | CGSI 2024
Taught by
Computational Genomics Summer Institute CGSI
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