Metabolomics by numbers: acquiring and understanding global metabolite data
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{goodacre:2004:TB,
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author = "Royston Goodacre and Seetharaman Vaidyanathan and
Warwick B. Dunn and George G. Harrigan and
Douglas B. Kell",
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title = "Metabolomics by numbers: acquiring and understanding
global metabolite data",
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journal = "Trends in Biotechnology",
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year = "2004",
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volume = "22",
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number = "5",
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pages = "245--252",
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month = "1 " # may,
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keywords = "genetic algorithms, genetic programming, ILP",
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URL = "http://dbkgroup.org/Papers/trends%20in%20biotechnology_22_(245).pdf",
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DOI = "doi:10.1016/j.tibtech.2004.03.007",
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abstract = "In this postgenomic era, there is a specific need to
assign function to orphan genes in order to validate
potential targets for drug therapy and to discover new
biomarkers of disease. Metabolomics is an emerging
field that is complementary to the other 'omics and
proving to have unique advantages. As in
transcriptomics or proteomics, a typical metabolic
fingerprint or metabolomic experiment is likely to
generate thousands of data points, of which only a
handful might be needed to describe the problem
adequately. Extracting the most meaningful elements of
these data is thus key to generating useful new
knowledge with mechanistic or explanatory power.",
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notes = "many topics covered not just GP",
- }
Genetic Programming entries for
Royston Goodacre
Seetharaman Vaidyanathan
Warwick B Dunn
George G Harrigan
Douglas B Kell
Citations