Evolutionary Computation for the Interpretation of Metabolomic Data

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Royston Goodacre and Douglas B. Kell",
  title =        "Evolutionary Computation for the Interpretation of
                 Metabolomic Data",
  booktitle =    "Metabolic Profiling: Its Role in Biomarker Discovery
                 and Gene Function Analysis",
  publisher =    "Kluwer Academic Publishers",
  year =         "2003",
  editor =       "George G. Harrigan and Royston Goodacre",
  chapter =      "13",
  pages =        "239--256",
  address =      "Boston, USA",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-4020-7370-4",
  isbn13 =       "978-1-4613-5025-5",
  URL =          "http://www.wkap.nl/prod/b/1-4020-7370-4",
  DOI =          "doi:10.1007/978-1-4615-0333-0_13",
  language =     "English",
  abstract =     "Post-genomic science is producing bounteous data
                 floods, and as the above quotation indicates the
                 extraction of the most meaningful parts of these data
                 is key to the generation of useful new knowledge.
                 Atypical metabolic fingerprint or metabolomics
                 experiment is expected to generate thousands of data
                 points (samples times variables) of which only a
                 handful might be needed to describe the problem
                 adequately. Evolutionary algorithms are ideal
                 strategies for mining such data to generate useful
                 relationships, rules and predictions. This chapter
                 describes these techniques and highlights their
                 exploitation in metabolomics.",
  notes =        "Pharmacia Corporation, Chesterfield, MO, USA
                 University of Manchester Institute of Science and
                 Technology (UMIST), UK",

Genetic Programming entries for Royston Goodacre Douglas B Kell