Classification of Proteomic Kinetic Patterns using Supervised Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{to:2005:CEC,
  author =       "Cuong To and Jiri Vohradsky",
  title =        "Classification of Proteomic Kinetic Patterns using
                 Supervised Genetic Programming",
  booktitle =    "Proceedings of the 2005 IEEE Congress on Evolutionary
                 Computation",
  year =         "2005",
  editor =       "David Corne and Zbigniew Michalewicz and 
                 Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and 
                 Garrison Greenwood and Tan Kay Chen and 
                 Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and 
                 Jennifier Willies and Juan J. Merelo Guervos and 
                 Eugene Eberbach and Bob McKay and Alastair Channon and 
                 Ashutosh Tiwari and L. Gwenn Volkert and 
                 Dan Ashlock and Marc Schoenauer",
  volume =       "2",
  pages =        "1823--1830",
  address =      "Edinburgh, UK",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "2-5 " # sep,
  organisation = "IEEE Computational Intelligence Society, Institution
                 of Electrical Engineers (IEE), Evolutionary Programming
                 Society (EPS)",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, SWICZ, s.
                 coelicolor",
  ISBN =         "0-7803-9363-5",
  DOI =          "doi:10.1109/CEC.2005.1554909",
  abstract =     "The rapidly emerging field of quantitative proteomics
                 has established itself as a credible approach for
                 understanding of the biology of whole organisms.
                 Classification of proteins according to the level of
                 their expression during a particular process allows
                 discovering causal relationships among genes and
                 proteins involved in the process. we present a
                 supervised method of classification of proteomic
                 kinetic patterns based on genetic programming allowing
                 for extraction of user defined patterns from a database
                 of kinetic profiles. The method combines robustness of
                 genetic programming algorithm with the flexibility
                 given by user interaction.",
  notes =        "CEC2005 - A joint meeting of the IEEE, the IEE, and
                 the EPS.",
}

Genetic Programming entries for Cuong Chieu To Jiri Vohradsky

Citations