基本信息
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Bio
I am a physicist and computer scientist by education, turned data scientist in molecular medicine. To better understand high-dimensional complex systems like cancer cells, I research unsupervised statistical machine learning methods like GitHub.com/GrauLab/SDCM. For research projects of my director and experiments in our lab, I lead the in-silico analyses. Recently, we have built new analysis pipelines for whole exome and RNA-sequencing. Published papers here, news on twitter.com/DrMichaelGrau.
Research Interests
Papers共 81 篇Author StatisticsCo-AuthorSimilar Experts
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Blood advances (2025)
Julian Ronnacker,Michael Grau, Maximilian Klasmeier, Christian Klesse,Henning Baldauf, Stefan Abert,Andrew F. Berdel, Friederike T. Füsser,Sarah Sandmann,Jörn Albring,Christian Reicherts,Simon Call,Julia Marx,Matthias Floeth,Eva Eßeling,Lina Kolloch,Philipp Berning,Annika Scheller,Klaus Wethmar,Hartmut Schmidt
Blood (2025)
Boris Kubuschok,Burkhard Otremba,Manfred Welslau,Julian Topaly,Thomas Wolff,Georg Lenz,Michael Grau, Larissa Bittencourt da Silva, Ines Brückmann, Tobias Foierl
Annals of Hematologypp.1-14, (2024)
crossref(2023)
openalex(2023)
HemaSphereno. S3 (2023)
crossref(2023)
crossref(2023)
Sabrina Kalmbach,Michael Grau,Myroslav Zapukhlyak,Ellen Leich,Vindi Jurinovic,Eva Hoster,Annette M. Staiger,Katrin S. Kurz,Oliver Weigert,Erik Gaitzsch,Verena Passerini,Marianne Engelhard,Klaus Herfarth,Klaus Beiske,Francesca Micci,Peter Möller,Heinz-Wolfram Bernd,Alfred C. Feller,Wolfram Klapper,Harald Stein,Martin-Leo Hansmann,Sylvia Hartmann,Martin Dreyling,Harald Holte,Georg Lenz,Andreas Rosenwald,German Ott,Heike Horn
crossref(2023)
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Author Statistics
#Papers: 81
#Citation: 2803
H-Index: 26
G-Index: 50
Sociability: 6
Diversity: 2
Activity: 16
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