Galactose-Induced Cataracts in Rats: A Machine Learning Analysis.

ABSTRACT: Background: Rat models are widely used to study cataracts due to their cost-effectiveness and prominent physiological and genetic similarities to humans The objective of this study was to identify genes involved in cataractogenesis due to galactose exposure in rats. Methods: We analyzed four datasets from the Gene Expression Omnibus, including both ex vivo and in vivo models of cataracts in different rat strains. Feature selection tools were used to identify genes potentially relevant in cataract-related gene expression. A decision tree algorithm was implemented, and its predictions were interpreted using SHAP and LIME. To validate gene expression levels, PCR was conducted on six rat lenses cultured in M199 medium and galactose to induce cataract and six lenses

SUBMITTER: Al-Mashhadani AJM 

PROVIDER: S-EPMC11866541 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature