Elena V. Kharitonova

HAUDI improves polygenic score construction for admixed populations by efficiently extending the GAUDI method to multi-way admixture with faster computation and better performance.

The paper develops a classifier, DeCAF, to identify permissive and restraining cancer-associated fibroblast subtypes from bulk RNAseq data and validates its clinical relevance across multiple cancer types.

This study introduces VAE-PRS, a deep learning model that improves polygenic prediction for blood cell traits by capturing interaction effects and outperforming traditional methods in 14 out of 16 traits.