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

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@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

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