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

被引：79
|
作者：
Chu, Vu T. [1 ]
Gottardo, Raphael [2 ]
Raftery, Adrian E. [3 ]
Bumgarner, Roger E. [1 ]
Yeung, Ka Yee [1 ]
机构：
[1] Univ Washington, Dept Microbiol, Seattle, WA 98195 USA
[2] Univ British Columbia, Dept Stat, Vancouver, BC V6T 1Z2, Canada
[3] Univ Washington, Dept Stat, Seattle, WA 98195 USA
来源：
GENOME BIOLOGY | 2008年 / 9卷 / 07期
基金：
加拿大自然科学与工程研究理事会;
关键词：
D O I：
10.1186/gb-2008-9-7-r118
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
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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页数：11
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