YoVDO

Single-cell Trajectory Analysis with V-Mapper

Offered By: Applied Algebraic Topology Network via YouTube

Tags

Topological Data Analysis Courses Gene Expression Courses High-dimensional Data Courses Single-Cell Analysis Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the innovative V-Mapper method for single-cell trajectory analysis in this 43-minute lecture presented by Yusuke Imoto at the Applied Algebraic Topology Network. Delve into the complexities of cell differentiation and gene expression changes, and discover how V-Mapper extends the Mapper topological data analysis method to incorporate velocity information. Learn how this advanced technique creates weighted directed graphs to simultaneously capture both topological structure and flow in high-dimensional gene expression data. Examine the application of V-Mapper to single-cell gene expression data for inferring cell differentiation trajectories, and understand how combinatorial Hodge decomposition enhances flow interpretation within V-Mapper graphs. Address the challenges posed by the curse of dimensionality in topological data analysis and explore proposed solutions to these issues.

Syllabus

Yusuke Imoto (08/07/24): Single-cell trajectory analysis with V-Mapper


Taught by

Applied Algebraic Topology Network

Related Courses

Data Analysis and Visualization
Georgia Institute of Technology via Udacity
Dimensionality Reduction in Python
DataCamp
Deep Learning of Dynamics and Coordinates with SINDy Autoencoders
Steve Brunton via YouTube
Recent Developments in Supervised Learning With Noise
Simons Institute via YouTube
PCA for High-Dimensional Heteroscedastic Data
Fields Institute via YouTube