A combination of kernel methods and genetic programming for gene expression pattern classification
Created by W.Langdon from
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- @InProceedings{conf/rivf/ToV06,
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author = "Cuong To and Jiri Vohradsky",
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title = "A combination of kernel methods and genetic
programming for gene expression pattern
classification",
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booktitle = "Research, Innovation and Vision for the Future, 2006
International Conference on",
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year = "2006",
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editor = "Patrick Bellot and Vu Duong and Marc Bui",
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pages = "214--221",
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address = "Ho Chi Minh City, Vietnam",
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month = feb # " 12-16",
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, Database
searching, Pattern classification, Pattern
recognition",
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ISBN = "1-4244-0316-2",
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DOI = "doi:10.1109/RIVF.2006.1696440",
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size = "8 pages",
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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. In this paper, we
would like to propose a new algorithm for pattern
classification, allowing for extraction of user defined
patterns from a database of kinetic gene expression
profiles. This algorithm is a combination of kernel
methods and genetic programming. The algorithm was
tested on publicly available transcriptomic and
proteomic time series datasets and the results showed
that the algorithm could find all similar patterns in
the database with very low misclassification rate.",
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notes = "The database is available at
http://proteom.biomed.cas.cz The database is available
at http://genomewww.stanford.edu/serum/clusters.html",
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bibdate = "2009-02-26",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/rivf/rivf2006.html#ToV06",
- }
Genetic Programming entries for
Cuong Chieu To
Jiri Vohradsky
Citations