Multiple and Optimal Screening Subset: a method selecting global characteristic congeners for robust foodomics analysis.

ABSTRACT: Metabolomics and foodomics shed light on the molecular processes within living organisms and the complex food composition by leveraging sophisticated analytical techniques to systematically analyze the vast array of molecular features. The traditional feature-picking method often results in arbitrary selections of the model, feature ranking, and cut-off, which may lead to suboptimal results. Thus, a Multiple and Optimal Screening Subset (MOSS) approach was developed in this study to achieve a balance between a minimal number of predictors and high predictive accuracy during statistical model setup. The MOSS approach compares five commonly used models in the context of food matrix analysis, specifically bourbons. These models include Student's t-test, receiver operating characteristic curve

SUBMITTER: Xu R 

PROVIDER: S-EPMC10883140 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature