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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Styles, Iain (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.

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Data creator(s):	Creators Email ORCID Styles, Iain I.B.Styles@bham.ac.uk UNSPECIFIED
Research Data Type:	Software
DOI:	https://doi.org/10.25500/eData.bham.00000052
Publisher:	University of Birmingham
Funder:	Engineering and Physical Sciences Research Council
Managing organisational unit:	Colleges (2008 onwards) > College of Engineering & Physical Sciences
UoB School, Department or Institute:	School of Computer Science
Date:	2016

Additional Details

Additional Details

Project/Grant:	PSIBS Doctoral Training Centre
Depositing User:	Patricia Herterich
Date Deposited:	02 Aug 2017 09:44
Last Modified:	25 May 2018 15:34

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multivariatecode.zip multivariatecode.zip multivariatecode.zip Access option: Open File: multivariatecode.zip Content type: Data Metadata Revision: 5 Mime-Type: application/zip Language: English Licence: ["licenses_imagelink_cc_by" not defined] File size: 5kB File checksum: 03910fb1973948d6df85d174391564b6

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