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Manifold Fitting Reveals Metabolomic Heterogeneity and Disease Associations in UK Biobank Populations

BIMSA via YouTube

Overview

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Explore how manifold fitting techniques can uncover metabolomic heterogeneity and disease associations in large-scale population studies through this 66-minute conference talk from ICBS2025. Learn about advanced computational methods for analyzing metabolomic data from the UK Biobank, discovering how manifold learning approaches reveal hidden patterns in metabolic profiles across diverse populations. Understand the application of dimensionality reduction techniques to identify metabolomic subtypes and their connections to various diseases, gaining insights into how geometric data analysis can transform our understanding of population-level metabolic variation and its clinical implications.

Syllabus

Zhigang Yao: Manifold Fitting Reveals Metabolomic Heterogeneity and Disease... #ICBS2025

Taught by

BIMSA

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