With #IntegrateALL, we extract from RNA-seq:

- Expression counts
- B-ALL subtypes via #ALLCatchR
- Driver gene fusions
- SNVs
- Virtual karyotypes

For classifying #RNASeqCNV B-ALL karyotypes, we built #KaryALL, a machine-learning classifier reaching 0.98 accuracy!

At #EHA2025, HemaSphere was honored to award authors of 4 recent + highly influential publications that significantly contribute to the hematology field. Congrats to Thomas Beder & coauthors for their publication about ALLCatchR identifying B-cell precursor ALL subtypes 👉https://bit.ly/409NrHe

@Hemasphere_EHA acknowledged our ALLCatchR paper on machine learning based subtype classification in ALL as highly influential publication! 💥So happy and grateful! Big kudos to Thomas and our team at 👉catchall-kfo5010.com #EHA2025