Thomas Bauernhofer

Reference-free microsatellite instability detection from tumor sequencing using intrasample variability modeling

PROMIS detects microsatellite instability in tumor sequencing without reference data or matched normals, achieving high accuracy across multiple cancer types and sample types.

Circulating tumor cell characterization and classification by novel combinatorial dual-color (CoDuCo) in situ hybridization and supervised machine learning

The paper develops a novel CoDuCo in situ hybridization method combined with machine learning to classify and characterize circulating tumor cells in prostate cancer, identifying resistance mechanisms and therapeutic targets.