ePapers Repository

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

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. [Dataset]

Research Datasets have been moved to the eData Repository.

This item is at https://edata.bham.ac.uk/52/

Please update any links or bookmarks.

Abstract

Code associated with the article

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
A Dexter, AM Race, IB Styles, J Bunch
Analytical Chemistry 88 (22), 10893-10899 (2016)

Type of Work:Dataset
School/Faculty:Colleges (2008 onwards) > College of Engineering & Physical Sciences
Department:School of Computer Science
Date:2016
Projects:PSIBS Doctoral Training Centre
Subjects:Q Science > Q Science (General)
T Technology > T Technology (General)
Funders:Engineering and Physical Sciences Research Council (EPSRC)
ID Code:3034

Export Reference As : ASCII + BibTeX + Dublin Core + EndNote + HTML + METS + MODS + OpenURL Object + Reference Manager + Refer + RefWorks
Share this item :
QR Code for this page

Repository Staff Only: item control page