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Zeitschriftenartikel (4)

  1. 1.
    Zeitschriftenartikel
    Thiele, S.; Heise, S.; Hessenkemper, W.; Bongartz, H.; Fensky, M.; Schaper, F.; Klamt, S.: Designing optimal experiments to discriminate interaction graph models. (angenommen)
  2. 2.
    Zeitschriftenartikel
    Ud-Dean, S.; Heise, S.; Klamt, S.; Gunawan, R.: TRaCE+: Ensemble inference of gene regulatory networks from transcriptional expression profiles of gene knock-out experiments. BMC Bioinformatics 17 (17), 252 (2016)
  3. 3.
    Zeitschriftenartikel
    Flassig, R.; Heise, S.; Sundmacher, K.; Klamt, S.: An effective framework for reconstructing gene regulatory networks from genetical genomics data. Bioinformatics 29 (2), S. 246 - 254 (2013)
  4. 4.
    Zeitschriftenartikel
    Pinna, A.; Heise, S.; Flassig, R.; de la Fuente, A.; Klamt, S.: Reconstruction of large-scale regulatory networks based on perturbation graphs and transitive reduction: improved methods and their evaluation. BMC Systems Biology 7, S. 73 (2013)

Buchkapitel (1)

  1. 5.
    Buchkapitel
    Heise, S.; Flassig, R.; Klamt, S.: Benchmarking a Simple Yet Effective Approach for Inferring Gene Regulatory Networks from Systems Genetic Data. In: Gene Network Inference: Verification of Methods for Systems Genetic Data., S. 33 - 47. Springer, Heidelberg (2013)

Poster (1)

  1. 6.
    Poster
    Flassig, R.; Heise, S.; Sundmacher, K.; Klamt, S.: An effective Framework for Gene RegulatoryNetwork Reconstruction from Genetical Genomics Data. GCB 2012, Jena, Germany (2012)
 
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