Matrix Factorization and Applications to Bulk and Single Cell Omic Datasets

Explore matrix factorization techniques and their applications to bulk and single-cell omic datasets in this comprehensive lecture from the Computational Genomics Summer Institute (CGSI) 2024. Delve into the fundamental concepts and advanced methodologies presented by Sushmita Roy, focusing on how these powerful mathematical tools can be leveraged to analyze complex genomic data. Gain insights into the latest research and developments in the field, drawing from related papers published in prestigious journals such as Genome Biology, Trends in Genetics, and Cell. Learn about the practical implementation of matrix factorization algorithms for various omics data types, including bulk RNA-seq and single-cell sequencing. Discover how these techniques can be applied to uncover hidden patterns, identify cellular heterogeneity, and elucidate biological processes in large-scale genomic datasets. This 46-minute talk provides a valuable resource for researchers, bioinformaticians, and computational biologists seeking to enhance their understanding of cutting-edge approaches in genomic data analysis.