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Nature Genetics|February 9, 2026
A microenvironment-determined risk continuum refines subtyping in meningioma and reveals determinants of machine learning-based tumor classificationSybren L N Maas, Yiheng Tang, Eric Stutheit-Zhao, et al.
Physical Review Letters|April 15, 2022
Measurement of Lepton-Jet Correlation in Deep-Inelastic Scattering with the H1 Detector Using Machine Learning for UnfoldingV Andreev, M Arratia, A Baghdasaryan, et al.
The European Physical Journal. C, Particles and Fields|January 31, 2020
Determination of the strong coupling constant in next-to-next-to-leading order QCD using H1 jet cross section measurements: H1 CollaborationV Andreev, A Baghdasaryan, K Begzsuren, et al.
The Lancet. Haematology|October 11, 2024
Data-driven, harmonised classification system for myelodysplastic syndromes: a consensus paper from the International Consortium for Myelodysplastic SyndromesRami S Komrokji, Luca Lanino, Somedeb Ball, et al.
Hemasphere|June 24, 2026
Real-world, multi-omics validation of the clinical relevance of molecular taxonomy for myelodysplastic syndromes (MDS)Giulia Maggioni, Gabriele Todisco, Elisabetta Sauta, et al.
Biorxiv : the Preprint Server for Biology|July 3, 2026
EpiATLAS - a reference for human epigenomic research, Quirin Manz, Misha Bilenky, et al.
Acta Crystallographica Section B, Structural Science, Crystal Engineering and Materials|October 17, 2024
The seventh blind test of crystal structure prediction: structure ranking methodsLily M Hunnisett, Nicholas Francia, Jonas Nyman, et al.
Acta Crystallographica Section B, Structural Science, Crystal Engineering and Materials|October 15, 2024
The seventh blind test of crystal structure prediction: structure generation methodsLily M Hunnisett, Jonas Nyman, Nicholas Francia, et al.
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