OPLS-Based Multiclass Classification and Data-Driven Interclass Relationship Discovery.

ABSTRACT: Multiclass data sets and large-scale studies are increasingly common in omics sciences, drug discovery, and clinical research due to advancements in analytical platforms. Efficiently handling these data sets and discerning subtle differences across multiple classes remains a significant challenge. In metabolomics, two-class orthogonal projection to latent structures discriminant analysis (OPLS-DA) models are widely used due to their strong discrimination capabilities and ability to provide interpretable information on class differences. However, these models face challenges in multiclass settings. A common solution is to transform the multiclass comparison into multiple two-class comparisons, which, while more effective than a global multiclass OPLS-DA model, unfortunately results in a man

SUBMITTER: Forsgren E 

PROVIDER: S-EPMC11863383 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature