MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis.

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Serval ID
serval:BIB_7A0CFB76956C
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Production externe
Title
MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis.
Journal
Genome biology
Author(s)
Chu V.T., Gottardo R., Raftery A.E., Bumgarner R.E., Yeung K.Y.
ISSN
1474-760X (Electronic)
ISSN-L
1474-7596
Publication state
Published
Issued date
2008
Peer-reviewed
Oui
Volume
9
Number
7
Pages
R118
Language
english
Notes
Publication types: Comparative Study ; Evaluation Study ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
Publication Status: ppublish
Abstract
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.
Keywords
Bayes Theorem, Computer Graphics, Gene Expression Profiling, Oligonucleotide Array Sequence Analysis, Software, Systems Integration, User-Computer Interface
DOI
10.1186/gb-2008-9-7-r118
Pubmed
18652698
Web of science
000258773600019
Open Access
Yes
Create date
28/02/2022 11:45
Last modification date
23/03/2024 7:24
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