Evolutionary Computation for the Interpretation of Metabolomic Data

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InCollection{Goodacre:2003:MP13,

• 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",
• broken = "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

Citations