Nadine Wolgast

The machine-learning classifier ALLCatchR2 identifies 20 T-ALL subtypes across cohorts and age groups

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

IntegrateALL: an end-to-end RNA-seq analysis pipeline for multilevel data extraction and interpretable subtype classification in B-precursor ALL

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

Intra-subtype heterogeneity shapes treatment response in KMT2A-rearranged ALL across all age groups

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