Testing for multivariate normality in mass spectrometry imaging data: a robust statistical approach for clustering evaluation and the generation of synthetic mass spectrometry imaging data sets.

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Testing for multivariate normality in mass spectrometry imaging data: a robust statistical approach for clustering evaluation and the generation of synthetic mass spectrometry imaging data sets.

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Dexter, A; Race, A M; Styles, I B*; Bunch, J (2016) Testing for multivariate normality in mass spectrometry imaging data: a robust statistical approach for clustering evaluation and the generation of synthetic mass spectrometry imaging data sets. Anal. Chem., 88 (22). pp. 10893-10899.

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Item Type:	Article
Subjects:	Nanoscience Nanoscience > Surface and Nanoanalysis
Identification number/DOI:	10.1021/acs.analchem.6b02139
Last Modified:	02 Feb 2018 13:13
URI:	https://eprintspublications.npl.co.uk/id/eprint/7349