Camiel C. A. Mannens

The paper develops STEAM, an evolution-augmented deep learning model, to predict mammalian enhancer landscapes across species using comparative genomics and single-cell data.

The paper extracts cis-regulatory rules from sequence-to-function models in human neural development using new single-cell multiome data and a computational tool called TF-MINDI.

OTTR combines live imaging and spatial transcriptomics to link cell behavior to molecular states in human tissues.

The paper constructs a single-cell chromatin accessibility atlas of the human first trimester brain, identifies regulatory elements linked to gene expression, and links disease SNPs to potential pathogenic mechanisms.

This paper introduces EEL FISH, a method for spatial transcriptome profiling that improves throughput while maintaining single-cell resolution, applied to mouse and human tissues.