A Grammatical Swarm for Protein Classification

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Gerard Ramstein and Nicolas Beaume and 
                 Yannick Jacques",
  title =        "A Grammatical Swarm for Protein Classification",
  booktitle =    "2008 IEEE World Congress on Computational
  year =         "2008",
  editor =       "Jun Wang",
  pages =        "2561--2568",
  address =      "Hong Kong",
  month =        "1-6 " # jun,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-1823-7",
  file =         "EC0587.pdf",
  DOI =          "doi:10.1109/CEC.2008.4631142",
  abstract =     "We present a Grammatical Swarm (GS) for the
                 Optimization of an aggregation operator. This combines
                 the results of several classifiers into a unique score,
                 producing an optimal ranking of the individuals. We
                 apply our method to the identification of new members
                 of a protein family. Support Vector Machine and Naive
                 Bayes classifiers exploit complementary features to
                 compute probability estimates. A great advantage of the
                 GS is that it produces an understandable algorithm
                 revealing the interest of the classifiers. Due to the
                 large volume of candidate sequences, ranking quality is
                 of crucial importance. Consequently, our fitness
                 criterion is based on the Area Under the ROC Curve
                 rather than on classification error rate. We discuss
                 the performances obtained for a particular family, the
                 cytokines and show that this technique is an efficient
                 means of ranking the protein sequences.",
  keywords =     "genetic algorithms, genetic programming, grammatical
  notes =        "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
                 EPS and the IET.",

Genetic Programming entries for Gerard Ramstein Nicolas Beaume Yannick Jacques