Malwine Barz

This study develops a method to detect minimal residual disease in neuroblastoma using ecDNA breakpoints, achieving high sensitivity and specificity in bone marrow samples.

The paper introduces ALLCatchR2, a machine learning classifier that identifies 20 T-ALL subtypes across multiple cohorts and age groups with high accuracy.

IntegrateALL is an RNA-seq pipeline that integrates expression-based subtyping, gene fusion detection, and virtual karyotyping to classify B-ALL with high accuracy.

This study identifies how developmental maturity and fusion partner influence treatment response in KMT2A-rearranged B-ALL across all ages.

RoCK and ROI improves single-cell transcriptomics by targeting specific transcripts and regions, enhancing detection of critical biological features.