Tom Lenaerts

RedRibbon is a rank-rank hypergeometric overlap method for comparing gene and transcript expression signatures, showing accuracy and efficiency on large datasets.

This study models hematopoiesis as a compartmental system with feedback to understand how it responds to perturbations and identifies conditions for stable responses.

This paper introduces VarCoPP, a machine-learning method that identifies pathogenic variant combinations in gene pairs, achieving high accuracy and providing interpretable explanations for predictions.

DiGeST provides a distributed computing framework for scalable genetic association studies, demonstrating scalability and ease of use with exome data from the 1000 Genomes Project.