Medical Systems Biology

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Last update:
September 14, 2017, 13:23

Joint research projects

  • BIU-Project (Boehringer Ingelheim Ulm University BioCenter): 
    • Project N7: "Diagnostic role and predictive value of cyclic nucleotides in neuropsychiatric co-morbidities of Alzheimer’s disease"
  • Symbol-HF (BMBF, eMed): "Systems Medicine to dissect the Biology of Heart Failure"
  • SFB 1074(DFG): "Experimental Models and Clinical Translation in Leukemia"
    • Project Z1: "Parallel Algorithms for Robust Clustering, Classification, and Visualization"
  • CAM-PaC(European Comission, FP7): "Integrative Analysis of Gene Functions in Cellular and Animal Models of Pancreatic Cancer"
    • WP10: "Data Integration and Modeling"
  • SyStaR(BMBF, GerontoSys 2): "Molecular Systems Biology of Impaired Stem Cell Function and Regeneration during Aging"
    • Research Group Kestler
    • Research Group Senior PI (provisional)
    • Research Group Junior PI (provisional)
  • Genomics Core Facility, Ulm University
    • HAK is coordinator of bioinformatics
  • International Graduate School in Molecular Medicine, Ulm University
    • HAK is member of the PhD Committee
 

Research Training Projects

  

  • Research Training Group 2254: "Heterogeneity and Evolution in Solid Tumours" (HEIST):
    • Project A2: "Systems biology of tumour evolution: Estimating partial orders from omics data"
    • HAK is co-director of HEIST

 

Finished joint research projects


  • NGFN-Plus (BMBF): "Translational Genome Research Network in Pancreatic Cancer"
    • Project TP11B: "Molecular Diagnosis of Pancreatic Cancer"
  • SFB 518 (DFG): "Inflammation, Regeneration and Transformation in the Pancreas"
    • Project C05: "Robust Algorithms for Clustering and Classification of Pancreatic Cells and Tissues"

Latest News

Our paper "A model of the onset of the Senescence Associated Secretory Phenotype after DNA damage induced Senescence" has been accepted for publishing in PLOS Computational Biology.

Our paper "The influence of multi-class feature selection on the prediction of diagnostic phenotypeshas been accepted for publishing in Neural Processing Letters.