The machine-learning classifier ALLCatchR2 identifies 20 T-ALL subtypes across cohorts and age groups
Thomas Beder, Nadine Wolgast, Wencke Walter, Sonja Bendig, Alina Hartmann, Malwine Barz, Marketa Kubricanova Zaliova, Elisa Reitzel, David Baden, Stefan Schwartz, Nicola Gökbuget, Lennart A. Kester, Jan Trka, Claudia Haferlach, Monika Brüggemann, , Lorenz Bastian
The paper introduces ALLCatchR2, a machine learning classifier that identifies 20 T-ALL subtypes across multiple cohorts and age groups with high accuracy.
HemaSphere · Sep 1, 2026Peer-reviewedBioinformatics