My research largely consists of the development and application of novel data-analytical methods for omics data, mostly focused on the methylation landscape in cancer, though also other (epi)genetic data are often integrated. The broad applicability of these methods makes them relevant for all cancer types.
- “Clinically relevant aberrant Filip1l DNA methylation detected in a murine model of cutaneous squamous cell carcinoma”. EBioMedicine, 2021. (PMID: 34000624).
- “DNA Methylation Regulates Transcription Factor-Specific Neurodevelopmental but Not Sexually Dimorphic Gene Expression Dynamics in Zebra Finch Telencephalon”. Frontiers in Cell and Developmental Biology, 2021. (PMID: 33816458).
- "Exploratory analysis of the human breast DNA methylation profile upon soymilk exposure". Scientific reports, 2018. (PMID 30206342)