Discrete Morse Graph Skeletonization and Application to Local Structures of scRNA-seq Data

Explore a 52-minute conference talk on discrete Morse graph skeletonization and its application to analyzing local structures of scRNA-seq data. Delve into the emerging field of topological and geometric data analysis (TGDA) as Yusu Wang from the University of California, San Diego, presents at IPAM's Mathematical Approaches for Connectome Analysis Workshop. Discover how topological objects from discrete Morse theory and persistent homology can be utilized to extract graph skeletons from high-dimensional point cloud data. Learn about the practical application of this graph skeletonization method in studying and quantifying differences in local structures of scRNA-seq datasets across various brain regions. Gain insights into this collaborative research effort with L. Magee, R. Gala, U. Sumbul, and M. Hawrylycz, recorded on February 16, 2024.