Metabolomics and Machine Learning: Explanatory Analysis of Complex Metabolome Data Using Genetic Programming to Produce Simple, Robust Rules

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@Article{kell:2002:MBR,
  author =       "Douglas B. Kell",
  title =        "Metabolomics and Machine Learning: Explanatory
                 Analysis of Complex Metabolome Data Using Genetic
                 Programming to Produce Simple, Robust Rules",
  journal =      "Molecular Biology Reports",
  year =         "2002",
  volume =       "29",
  number =       "1-2",
  pages =        "237--241",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://dbkgroup.org/Papers/btk2002_dbk.pdf",
  broken =       "http://www.ingentaconnect.com/content/klu/mole/2002/00000029/F0020001/05102807",
  DOI =          "doi:10.1023/A:1020342216314",
  size =         "5 pages",
  abstract =     "There is a clear trend in post-genomic studies to
                 understand gene function, pharmaceutical mode of
                 action, cytotoxicity and the like by expression
                 profiling at the level of the transcriptome, the
                 proteome and the metabolome. Our interest is focused on
                 the latter.",
  notes =        "Article ID: 5102807 Kluwer Academic Publishers

                 ",
}

Genetic Programming entries for Douglas B Kell

Citations