Analyzing Protein Data with the Generative Topographic Mapping Approach

  • Isabelle M. Grimmenstein
  • Wolfgang Urfer
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


The Generative Topographic Mapping (GTM) approach by Bishop et al. (1998) is used for the classification of sequences from a protein family and the graphical display of the group relationships on a two-dimensional map. The results are compared with the closely related Self-Organizing Map (SOM) approach of Kohonen (1982). A modification of the classical GTM approach is presented, better suited for the analysis of sequence data.


Latent Space Data Space Parameter Matrix Alignment Position Related Amino Acid 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin · Heidelberg 2005

Authors and Affiliations

  • Isabelle M. Grimmenstein
    • 1
  • Wolfgang Urfer
    • 1
  1. 1.Fachbereich StatistikUniversität DortmundDortmundGermany

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