Florian Uhlitz

The paper develops a machine learning framework to identify cell type-specific gene targets for IBD using a harmonized single-cell atlas and validates them experimentally.

The paper uses Perturb-seq to identify TCF7 as a key integrator of MAPK and Wnt signaling pathways through a feedback loop with EGR1.

This study shows that ongoing whole-genome doubling in ovarian cancer promotes cell diversity and immune dysregulation through chromosomal instability and quiescent states.

This study uses targeted Perturb-seq to identify EGR1 and FOS as key regulators of the transcriptional RAF-MAPK response by constructing a directional interaction network.

GeneVector uses mutual information-based dimensionality reduction to identify transcriptional programs and classify cell types across single-cell RNA-seq datasets.