Holger Froehlich

Summary

Affiliation: German Cancer Research Center
Country: Germany

Publications

  1. ncbi Increasing the sensitivity of reverse phase protein arrays by antibody-mediated signal amplification
    Jan C Brase
    Division of Molecular Genome Analysis, German Cancer Research Center, Heidelberg, Germany
    Proteome Sci 8:36. 2010
  2. ncbi A bayesian network view on nested effects models
    Cordula Zeller
    Gene Center, Ludwig Maximilians University, 81377 Munich, Germany
    EURASIP J Bioinform Syst Biol 2009:195272. 2008
  3. ncbi Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance
    Ozgur Sahin
    German Cancer Research Center, Heidelberg, Germany
    BMC Syst Biol 3:1. 2009
  4. ncbi Large scale statistical inference of signaling pathways from RNAi and microarray data
    Holger Froehlich
    German Cancer Research Center DKFZ, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
    BMC Bioinformatics 8:386. 2007
  5. ncbi Automated classification of the behavior of rats in the forced swimming test with support vector machines
    Holger Frohlich
    Centre for Bioinformatics Tübingen, Sand 1, 72076 Tubingen, Germany
    Neural Netw 21:92-101. 2008
  6. ncbi Estimating large-scale signaling networks through nested effect models with intervention effects from microarray data
    Holger Frohlich
    German Cancer Research Center, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
    Bioinformatics 24:2650-6. 2008
  7. ncbi Predicting pathway membership via domain signatures
    Holger Frohlich
    German Cancer Research Center DKFZ, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
    Bioinformatics 24:2137-42. 2008
  8. ncbi Nested effects models for learning signaling networks from perturbation data
    Holger Frohlich
    German Cancer Research Center DKFZ, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
    Biom J 51:304-23. 2009

Collaborators

  • Holger Frohlich
  • Tim Beissbarth
  • Achim Tresch
  • Holger Rosenbrock
  • Jan C Brase
  • Ulrike Korf
  • Stefan Wiemann
  • Ozgur Sahin
  • Cordula Zeller
  • Heiko Mannsperger
  • Thorsten Schlomm
  • Holger Sultmann
  • Christian Schmidt
  • Stephan Gade
  • Claudine Chaouiya
  • Ingo Schupp
  • Annemarie Poustka
  • Christian Löbke
  • Meher Majety
  • Denis Thieffry
  • Sara Burmester
  • Dorit Arlt
  • Jens Mattern

Detail Information

Publications8

  1. ncbi Increasing the sensitivity of reverse phase protein arrays by antibody-mediated signal amplification
    Jan C Brase
    Division of Molecular Genome Analysis, German Cancer Research Center, Heidelberg, Germany
    Proteome Sci 8:36. 2010
    ..Increasing the sensitivity of RPPA approaches is important since many signaling proteins or posttranslational modifications are present at a low level...
  2. ncbi A bayesian network view on nested effects models
    Cordula Zeller
    Gene Center, Ludwig Maximilians University, 81377 Munich, Germany
    EURASIP J Bioinform Syst Biol 2009:195272. 2008
    ..Our approach gives rise to new learning methods for NEMs, which have been implemented in the /Bioconductor package nem. We validate these methods in a simulation study and apply them to a synthetic lethality dataset in yeast...
  3. ncbi Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance
    Ozgur Sahin
    German Cancer Research Center, Heidelberg, Germany
    BMC Syst Biol 3:1. 2009
    ....
  4. ncbi Large scale statistical inference of signaling pathways from RNAi and microarray data
    Holger Froehlich
    German Cancer Research Center DKFZ, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
    BMC Bioinformatics 8:386. 2007
    ..These secondary effects can be used to computationally reverse engineer features of the upstream signaling pathway...
  5. ncbi Automated classification of the behavior of rats in the forced swimming test with support vector machines
    Holger Frohlich
    Centre for Bioinformatics Tübingen, Sand 1, 72076 Tubingen, Germany
    Neural Netw 21:92-101. 2008
    ..Moreover, our technique is able to classify between tricyclic antidepressants and SSRIs. The results of this work enabled the development of an automated and highly accurate behavior classification system...
  6. ncbi Estimating large-scale signaling networks through nested effect models with intervention effects from microarray data
    Holger Frohlich
    German Cancer Research Center, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
    Bioinformatics 24:2650-6. 2008
    ....
  7. ncbi Predicting pathway membership via domain signatures
    Holger Frohlich
    German Cancer Research Center DKFZ, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
    Bioinformatics 24:2137-42. 2008
    ..However, only a small fraction of genes is annotated with pathway information up to now. In contrast, information on contained protein domains can be obtained for a significantly higher number of genes, e.g. from the InterPro database...
  8. ncbi Nested effects models for learning signaling networks from perturbation data
    Holger Frohlich
    German Cancer Research Center DKFZ, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
    Biom J 51:304-23. 2009
    ..As an application, we present results on estimating the signaling network between 13 genes in the ER-alpha pathway of human MCF-7 breast cancer cells. Comparison with the literature shows a substantial overlap...