Explore graph and algebraic signal processing fundamentals for computational biology in this 29-minute conference talk by Smita Krishnaswamy at the Computational Genomics Summer Institute (CGSI). Delve into key concepts and applications, drawing from influential papers in the field. Gain insights into graph signal processing, geometric scattering for graph data analysis, and algebraic signal processing theory. Learn how these advanced techniques can be applied to solve complex problems in computational biology and genomics research.
Graph and Algebraic Signal Processing Basics for Computational Biology
Computational Genomics Summer Institute CGSI via YouTube
Overview
Syllabus
Smita Krishnaswamy | Graph and Algebraic Signal Processing Basics for Computational Biology | CGSI23
Taught by
Computational Genomics Summer Institute CGSI
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