Show simple item record Hardy, Nigel BaniMustafa, Ahmed
dc.contributor.editor Metabolomics, 'Plant
dc.contributor.editor Methods,
dc.contributor.editor Protocols',
dc.contributor.editor Hall,
dc.contributor.editor R, D.
dc.contributor.editor Hardy,
dc.contributor.editor N, W. 2012-04-23T14:42:16Z 2012-04-23T14:42:16Z 2012-04-23
dc.identifier.citation Hardy , N & BaniMustafa , A 2012 , ' A Strategy for Selecting Data Mining Techniques in Metabolomics ' . P Metabolomics , Methods , Protocols' , Hall , D R , Hardy & W N (eds) , in : Springer Science, 860 part 3 . Methods and Protocols , Springer Science , pp. 317-333 . en
dc.identifier.other PURE: 184689
dc.identifier.other dspace: 2160/7821
dc.description BaniMustafa, A.H., Hardy, N.W., 'A Strategy for Selecting Data Mining Techniques in Metabolomics', In: 'Plant Metabolomics: Methods and Protocols', Hall, R.D., Hardy, N.W., (Eds), Springer Science, 860 part 3. Chapter 18, pp. 317-333, 2012 en
dc.description.abstract There is a general agreement that the development of metabolomics depends not only on advances in chemical analysis techniques but also on advances in computing and data analysis methods. Metabolomics data usually requires intensive pre-processing, analysis, and mining procedures. Selecting and applying such procedures requires attention to issues including justification, traceability, and reproducibility. We describe a strategy for selecting data mining techniques which takes into consideration the goals of data mining techniques on the one hand, and the goals of metabolomics investigations and the nature of the data on the other. The strategy aims to ensure the validity and soundness of results and promote the achievement of the investigation goals. en
dc.format.extent 17 en
dc.language.iso eng
dc.publisher Springer Science
dc.relation.ispartof Springer Science, 860 part 3 en
dc.relation.ispartofseries Methods and Protocols en
dc.title A Strategy for Selecting Data Mining Techniques in Metabolomics en
dc.type Text en
dc.type.publicationtype Book chapter en
dc.contributor.institution Department of Computer Science en

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