YoVDO

Harmonic Persistent Homology for Disentangling Multiway Interaction in Data

Offered By: Applied Algebraic Topology Network via YouTube

Tags

Persistent Homology Courses Data Science Courses Bioinformatics Courses Computational Biology Courses Harmonic Analysis Courses Algebraic Topology Courses Mathematical Biology Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the concept of Harmonic Persistent Homology and its application in analyzing multi-omics data in this one-hour lecture. Delve into the process of associating concrete subspaces of cycles to each homology class through harmonic representatives. Gain insights into the relationship between essential simplices and harmonic representatives weights. Learn how to apply a computational pipeline to multi-omics data, uncovering hidden patterns that highlight relationships between different omic profiles. Discover how this approach enables disease subtyping and biomarker identification for similar latent biological pathways associated with complex diseases. The lecture covers joint work by Davide Gurnari, Aldo Guzmán-Sáenz, Filippo Utro, Saugata Basu, and Laxmi Parida, presented as part of the Applied Algebraic Topology Network series.

Syllabus

Davide Gurnari (01/24/24): Harmonic Persistent Homology for Disentangling Multiway Interaction


Taught by

Applied Algebraic Topology Network

Related Courses

Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Scientific Computing
University of Washington via Coursera Introduction to Data Science
University of Washington via Coursera Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera