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Graph and Algebraic Signal Processing Basics for Computational Biology

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Computational Biology Courses Bioinformatics Courses Data Analysis Courses Machine Learning Courses Graph Signal Processing Courses

Course Description

Overview

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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.

Syllabus

Smita Krishnaswamy | Graph and Algebraic Signal Processing Basics for Computational Biology | CGSI23


Taught by

Computational Genomics Summer Institute CGSI

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