Article

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

2026-01-02

Abstract excerpt

T-cell acute lymphoblastic leukemia (T-ALL) comprises molecularly diverse subtypes, but robust cross-cohort validations and operational gene-expression definitions are lacking. To establish a gene-expression-anchored framework for T-ALL subtyping, we aggregated 2,314 transcriptomes (15 cohorts, age: 0.8 to 90.8 years). An extended unsupervised approach defined 17 main clusters and 3 subclusters in samples with hig...

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Literature Corpus work: d66dab5f-00f9-5649-86af-19bcce35a21b
DOI: 10.64898/2026.01.01.697268

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