Clarissa Gerhäuser

The paper improves a tool for sorting DNA reads in xenograft models, enhancing efficiency for epigenetic analysis.

The paper develops a hierarchical classification framework combining epigenetic and genetic data with machine learning to improve diagnosis and risk stratification in hematologic malignancies.

The paper investigates DNA methylation differences in prostate cancer across African, European, and Asian ancestries, finding ancestry-driven methylation patterns linked to disease aggressiveness in African tumors.

The paper benchmarks DNA methylation sequencing workflows against an experimental gold-standard, identifying superior workflows and developing a sustainable benchmarking platform.

MethylBERT is a Transformer-based model that identifies tumour-derived reads and estimates tumour purity from bulk samples, outperforming existing methods in accuracy.

This study shows that inhibiting the DNMT/G9a complex targets specific epigenetic vulnerabilities in AML, inducing an IFN response and improving therapeutic outcomes.

Figeno generates publication-quality genomic figures with support for multi-region views, long reads, and epigenomic data.