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Programme
LiSyM: Liver Systems Medicine 3
LiSyM-Krebs - Systemmedizinisches Forschungsnetz zur Früherkennung und Prävention von Leberkrebs3
Project
LiSyM network3
Forschungsnetzwerk LiSyM-Krebs5
C-TIP-HCC network4
LiSyM-Krebs Partnering3
SMART-NAFLD3
DEEP-HCC network3
LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI)1
Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM)1
Default_Project1
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Institution
German Cancer Research Center (DKFZ), Division of Systems Biology of Signal Transduction1
HITS gGmbH1
Leibniz-Institut für Arbeitsforschung (IfADo)1
Humboldt-Universität zu Berlin - Institute for Theoretical Biology (ITB)1
Technical University Munich - Klinikum rechts der Isar1
Location
Germany3
Expertise
Molecular Biology3
Systems Biology8
Mathematical Modelling5
Biophysics5
Bioinformatics4
computational biology4
computational modelling4
Databases3
Signal transduction3
Biochemistry2
Data Management2
Standards2
Liver injury and regeneration2
Liver zonation2
kinetic modelling2
wet lab2
Hepatocytes2
Spatio-temporal Modelling2
Hedgehog pathway2
liver metabolism2
functional imaging2
Imaging and image analysis2
Data-driven ODE modeling2
Genetics1
Proteomics1
Modelling1
FAIRDOM1
Metabolism1
big data1
metabolic networks1
Inflammation1
Jak/STAT pathway1
Wnt signalling pathway1
in vivo imaging1
Animal experimentalist1
Omics1
non parenchymal cells1
pharmacokinetics1
Multi-scale Modelling1
Lipidomics1
Primary human hepatocytes1
Digital Pathology1
AI1
Systems Medicine1
Nextcloud1
Information Retrieval1
Biocuration1
FAIRDOM SEEK1
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Tool
Molecular Biology2
3
People matching the given criteria:
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Project:
LiSyM network3
Expertise:
Molecular Biology3
Program management team LiSyM-Cancer (project and communications manager)
Former PhD student in LiSyM, at DKFZ Heidelberg in the group of Ursula Klingmüller
(née Schmitt)
Former postdoc in the Theoretical Biophysics group headed by Edda Klipp at Humboldt-Universität zu Berlin and member of the LiSyM network, I am now an independent Group Leader at the Technical University of Munich focusing on developing an advanced bioinformatics toolbox for analyzing, integrating, and mining of various omics data in the context of precision medicine as well as molecular disease and patient subtyping.