EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics.
Motivation: An intuitive graphical interface that allows statistical analyses and visualizations of extensive data without any knowledge of dedicated statistical software or programming.Implementation: EpiMetal is a single-page web application written in JavaScript, to be used via a modern desktop w...
| Published in: | International Journal of Epidemiology Vol. 49; no. 4; pp. 1075 - 1082 |
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| Main Authors: | , , , , , , , , , , , , , |
| Format: | tables/charts Journal Article |
| Published: |
Oxford University Press / USA
Aug2020
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=147044084&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 147044084 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03005771 DIH jtl: International Journal of Epidemiology issn: 03005771 maglogo: N pubinfo: dt: Aug2020 vid: 49 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 147044084 147044084 NLM31943015 147044084 10.1093/ije/dyz244 NLM31943015 147044084 ppf: 1075 ppct: 7 formats: tig: atl: EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics. aug: au: Ekholm, Jussi Ohukainen, Pauli Kangas, Antti J Kettunen, Johannes Wang, Qin Karsikas, Mari Khan, Anmar A Kingwell, Bronwyn A Kähönen, Mika Lehtimäki, Terho Raitakari, Olli T Järvelin, Marjo-Riitta Meikle, Peter J Ala-Korpela, Mika affil: Computational Medicine, Faculty of Medicine, University of Oulu , Oulu, Finland sug: subj: Biochemistry Software Algorithms Internet Web Browsers Funding Source ab: Motivation: An intuitive graphical interface that allows statistical analyses and visualizations of extensive data without any knowledge of dedicated statistical software or programming.Implementation: EpiMetal is a single-page web application written in JavaScript, to be used via a modern desktop web browser.General Features: Standard epidemiological analyses and self-organizing maps for data-driven metabolic profiling are included. Multiple extensive datasets with an arbitrary number of continuous and category variables can be integrated with the software. Any snapshot of the analyses can be saved and shared with others via a www-link. We demonstrate the usage of EpiMetal using pilot data with over 500 quantitative molecular measures for each sample as well as in two large-scale epidemiological cohorts (N >10 000).Availability: The software usage exemplar and the pilot data are open access online at [http://EpiMetal.computationalmedicine.fi]. MIT licensed source code is available at the Github repository at [https://github.com/amergin/epimetal]. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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