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MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis
We present MeV+R, an integration of the JAVA MultiExperiment Viewer program with Bioconductor packages. This integration of MultiExperiment Viewer and R is easily extensible to other R packages and provides users with point and click access to traditionally command line driven tools written in R. We...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2530872/ https://www.ncbi.nlm.nih.gov/pubmed/18652698 http://dx.doi.org/10.1186/gb-2008-9-7-r118 |
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author | Chu, Vu T Gottardo, Raphael Raftery, Adrian E Bumgarner, Roger E Yeung, Ka Yee |
author_facet | Chu, Vu T Gottardo, Raphael Raftery, Adrian E Bumgarner, Roger E Yeung, Ka Yee |
author_sort | Chu, Vu T |
collection | PubMed |
description | We present MeV+R, an integration of the JAVA MultiExperiment Viewer program with Bioconductor packages. This integration of MultiExperiment Viewer and R is easily extensible to other R packages and provides users with point and click access to traditionally command line driven tools written in R. We demonstrate the ability to use MultiExperiment Viewer as a graphical user interface for Bioconductor applications in microarray data analysis by incorporating three Bioconductor packages, RAMA, BRIDGE and iterativeBMA. |
format | Text |
id | pubmed-2530872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-25308722008-09-06 MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis Chu, Vu T Gottardo, Raphael Raftery, Adrian E Bumgarner, Roger E Yeung, Ka Yee Genome Biol Software We present MeV+R, an integration of the JAVA MultiExperiment Viewer program with Bioconductor packages. This integration of MultiExperiment Viewer and R is easily extensible to other R packages and provides users with point and click access to traditionally command line driven tools written in R. We demonstrate the ability to use MultiExperiment Viewer as a graphical user interface for Bioconductor applications in microarray data analysis by incorporating three Bioconductor packages, RAMA, BRIDGE and iterativeBMA. BioMed Central 2008 2008-07-24 /pmc/articles/PMC2530872/ /pubmed/18652698 http://dx.doi.org/10.1186/gb-2008-9-7-r118 Text en Copyright © 2008 Chu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Chu, Vu T Gottardo, Raphael Raftery, Adrian E Bumgarner, Roger E Yeung, Ka Yee MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis |
title | MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis |
title_full | MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis |
title_fullStr | MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis |
title_full_unstemmed | MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis |
title_short | MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis |
title_sort | mev+r: using mev as a graphical user interface for bioconductor applications in microarray analysis |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2530872/ https://www.ncbi.nlm.nih.gov/pubmed/18652698 http://dx.doi.org/10.1186/gb-2008-9-7-r118 |
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