Classification of Proteomic Kinetic Patterns using Supervised Genetic Programming
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- @InProceedings{to:2005:CEC,
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author = "Cuong To and Jiri Vohradsky",
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title = "Classification of Proteomic Kinetic Patterns using
Supervised Genetic Programming",
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booktitle = "Proceedings of the 2005 IEEE Congress on Evolutionary
Computation",
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year = "2005",
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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",
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volume = "2",
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pages = "1823--1830",
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address = "Edinburgh, UK",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "2-5 " # sep,
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organisation = "IEEE Computational Intelligence Society, Institution
of Electrical Engineers (IEE), Evolutionary Programming
Society (EPS)",
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming, SWICZ, s.
coelicolor",
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ISBN = "0-7803-9363-5",
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DOI = "doi:10.1109/CEC.2005.1554909",
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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.",
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notes = "CEC2005 - A joint meeting of the IEEE, the IEE, and
the EPS.",
- }
Genetic Programming entries for
Cuong Chieu To
Jiri Vohradsky
Citations