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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...

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Detalles Bibliográficos
Autores principales: Chu, Vu T, Gottardo, Raphael, Raftery, Adrian E, Bumgarner, Roger E, Yeung, Ka Yee
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
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.
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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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