PUB - Publikationen an der Universität Bielefeld

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• [5]
  

  2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2300073

  Martin, C., Tauchen, A., Becker, A., & Nattkemper, T. W. (2011). A Normalized Tree Index for identification of correlated clinical parameters in microarray data. BioData Mining, 4(1), 2. https://doi.org/10.1186/1756-0381-4-2

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [4]
  

  2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1587052

  Martin, C., Diaz, N. N., Ontrup, J., & Nattkemper, T. W. (2008). Hyperbolic SOM-based clustering of DNA fragment features for taxonomic visualization and classification. Bioinformatics, 24(14), 1568-1574. https://doi.org/10.1093/bioinformatics/btn257

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [3]
  

  2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2018409

  Martin, C., & Nattkemper, T. W. (2008). A Tree Index to Support Clustering Based Exploratory Data Analysis. Bioinformatics Research and Development : Second International Conference, BIRD 2008 Vienna, Austria, July 7-9, 2008 Proceedings, Communications in Computer and Information Science, 13, 1-15. Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-540-70600-7_1

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• [2]
  

  2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2018412

  Martin, C., Díaz Solórzano, N. N., Ontrup, J., & Nattkemper, T. W. (2007). Genome feature exploration using hyperbolic Self-Organizing Maps. Proceedings of the 6th International Workshop on Self-Organizing Maps (WSOM 2007) Bielefeld: Bielefeld University. https://doi.org/10.2390/biecoll-wsom2007-140

  PUB | PDF | DOI
   
• [1]
  

  2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1597259

  Martin, C., Deters, H. grosse, & Nattkemper, T. W. (2006). Fusing biomedical multi-modal data for exploratory data analysis. In S. Kollias (Ed.), ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 2 (Vol. 4132, pp. 798-807). Berlin, Heidelberg: SPRINGER-VERLAG BERLIN. https://doi.org/10.1007/11840930_83

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