Evolutionary Computation for the Interpretation of Metabolomic Data
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InCollection{Goodacre:2003:MP13,
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author = "Royston Goodacre and Douglas B. Kell",
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title = "Evolutionary Computation for the Interpretation of
Metabolomic Data",
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booktitle = "Metabolic Profiling: Its Role in Biomarker Discovery
and Gene Function Analysis",
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publisher = "Kluwer Academic Publishers",
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year = "2003",
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editor = "George G. Harrigan and Royston Goodacre",
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chapter = "13",
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pages = "239--256",
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address = "Boston, USA",
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month = jan,
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keywords = "genetic algorithms, genetic programming",
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ISBN = "1-4020-7370-4",
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isbn13 = "978-1-4613-5025-5",
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broken = "http://www.wkap.nl/prod/b/1-4020-7370-4",
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DOI = "doi:10.1007/978-1-4615-0333-0_13",
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language = "English",
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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.",
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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