Jonas Nørskov Søndergaard

pyODIN improves cell type annotation by integrating RNA and protein data, achieving higher accuracy and resolving finer cell subtypes than existing methods.

The paper introduces scODIN, a method that improves cell type identification in scRNA-seq by combining expert knowledge and machine learning to address gene dropout and detect rare immune cell subsets.

This study shows that activating estrogen receptors in male mice reduces HFD-induced liver steatosis by modulating gene expression and TEAD1, suggesting TEAD1 inhibition as a therapeutic strategy for NAFLD.

This study investigates on-target genomic effects of CRISPR/Cas9 deletions in human cells, revealing functional DNA disruptions and unexpected consequences.