Optimizing Feature Selection for Unbalanced Metabolomics Data with a Background Factor: A Comparative Study in Parkinson’s Disease

Description

This presentation introduce a comparative study about feature selection for unbalanced metabolomics data with a background factor. During the presentation, feature selection results obtained by various analysis methods were shown and discussed.

Aikajakso	3 jouluk. 2024
Pidetty	IEEE and IEEE Computer Society, Yhdysvallat
Tunnustuksen arvo	International