Author
University Hospital UlmORCID 0000-0002-5890-5510Unclaimed ORCID profile · follow to get notified of new preprints
6 papers
Recent·Most cited
Jan Bařinka, Sarah Gräßle, Magdalena Pajonk…·Simon Haas
This study links multiscale biological interactions to clinical outcomes in AML by analyzing single-cell data and developing an analytical framework.
Maximilian Schönung, Melissa Türe, Panna Lajer…·Daniel B. Lipka
The paper develops a hierarchical classification framework combining epigenetic and genetic data with machine learning to improve diagnosis and risk stratification in hematologic malignancies.
Subhash C. Prajapati, Cem Meydan, Yaseswini Neelamraju…·Francine E. Garrett-Bakelman
This study identifies CEBPD as a tumor suppressor gene in acute myeloid leukemia through functional experiments and genomic analyses.
Etienne Sollier, Anna Riedel, Umut H. Toprak…·Christoph Plass
Pyjacker detects enhancer hijacking in AML, identifying MNX1 activation via 7q deletion as a novel oncogenic mechanism.
Dieter Weichenhan, Anna Riedel, Etienne Sollier…·Christoph Plass
The paper shows MNX1 overexpression in t(7;12)(q36;p13) AML is due to enhancer hijacking, not oncofusion, and is common in pediatric cases.
Moritz Hess, Stefan Lenz, Tamara J. Blätte…·Harald Binder
The paper introduces a partitioned learning approach for deep Boltzmann machines to analyze SNP data, showing it can uncover complex SNP patterns and improve survival prediction in acute myeloid lymphoma patients.