Mateusz Garbulowski

The paper identifies key RBP regulatory interactions in liver cancer and suggests potential drug candidates through GRN analysis and enrichment studies.

GeneSNAKE is a Python package that simulates gene regulatory networks and perturbation-induced expression data for benchmarking, offering control over network properties and noise models.

R.ROSETTA is an interpretable machine learning framework that identifies biological semantics from omics data, revealing potential gene interdependencies in autism case-control studies.