Korbinian Traeuble

The paper presents results from an open competition to develop aging biomarkers using DNA methylation data, showing improved predictive models for age, mortality, and multi-morbidity.

This study integrates multi-omic data from glioblastoma patients to identify a high-risk progenitor phenotype linked to poor survival and spatially defined tumor progression.

This study creates an integrated single-cell atlas of human atherosclerotic plaques using scRNA-seq data, enabling accurate cell type annotation and downstream analyses.