Jędrzej Kubica

BFWalk is a network propagation algorithm that avoids bias toward highly connected proteins, outperforming existing methods in identifying phenotype-associated genes across four human diseases.

The paper describes a project from the 4D Nucleome Hackathon aimed at developing a workflow for comparing and validating chromatin models, identifying challenges in model comparison and software development.

This study uses GWAS and functional genomics to identify ALS risk genes, repurpose drugs, and improve risk prediction using polytranscriptomic scores.