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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660139/
https://www.ncbi.nlm.nih.gov/pubmed/31943015
http://dx.doi.org/10.1093/ije/dyz244
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author 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
author_facet 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
author_sort Ekholm, Jussi
collection PubMed
description 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].
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spelling pubmed-76601392020-11-18 EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics 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 Int J Epidemiol Software Application Profile 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]. Oxford University Press 2020-01-16 /pmc/articles/PMC7660139/ /pubmed/31943015 http://dx.doi.org/10.1093/ije/dyz244 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the International Epidemiological Association. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Software Application Profile
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
EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics
title EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics
title_full EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics
title_fullStr EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics
title_full_unstemmed EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics
title_short EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics
title_sort epimetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics
topic Software Application Profile
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660139/
https://www.ncbi.nlm.nih.gov/pubmed/31943015
http://dx.doi.org/10.1093/ije/dyz244
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