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

Zhang, Y. (Speaker)

Department of Computer Science
School of Science

Activity: Talk or presentation types › Conference presentation

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.

Period	3 Dec 2024
Held at	IEEE and IEEE Computer Society, United States
Degree of Recognition	International