Cohomology Classes in the RNA Transcriptome
Offered By: Applied Algebraic Topology Network via YouTube
Course Description
Overview
Explore the application of algebraic topology to single-cell sequencing data in this 45-minute talk from the Applied Algebraic Topology Network. Delve into the interpretation of one-dimensional cohomology classes in hallmark gene subsets as models for transient biological processes. Learn how persistent cohomology is used to identify features and how the integration of differential forms estimates gene cascades associated with underlying gene expression dynamics. Discover how this approach can infer cell-cycle processes and homeostatic negative feedback loops from the structure and geometry of point clouds representing RNA expression levels in cells. Gain insights into cutting-edge techniques for analyzing complex biological data through the lens of advanced mathematical concepts.
Syllabus
Kelly Maggs (05/01/2024): Cohomology classes in the RNA transcriptome
Taught by
Applied Algebraic Topology Network
Related Courses
Network Analysis in Systems BiologyIcahn School of Medicine at Mount Sinai via Coursera Molecular Dynamics for Computational Discoveries in Science
University of Massachusetts Boston via Independent Biology Meets Programming: Bioinformatics for Beginners
University of California, San Diego via Coursera Python for Informatics: Exploring Information
Open Education by Blackboard Genomic Medicine Gets Personal
Georgetown University via edX