Noud H.M. Klaassen

This study uses sequence-based deep learning models to identify functional promoter mutations in cancer, finding enrichment in known and novel cancer genes.

This paper introduces PARM, a deep learning model trained on MPRA data to predict human promoter activity and identify TF binding preferences, revealing positional and functional differences in regulatory grammar.

This study identifies ELOF1 as a factor that directs CRL4CSA to ubiquitylate RNAPII at K1268, facilitating TCR and protecting CSB-deficient cells from transcription-replication collisions.