Open access
Aug 2026
Integrating machine learning and GWAS for variant prioritization in the INCIPE cohort highlights ABC transporter genes in chronic kidney disease
This study demonstrates that the NCBC model improves the prioritization of biologically plausible candidate variants in a small and imbalanced CKD cohort, and support the integration of ML with GWAS to prioritize candidate genes and investigate the genetic architecture of complex diseases.
Dagnogo Dramane, M. Treccani, L. Veschetti et al.
· Frontiers in Genetics · 0 citations