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EMA - A R package for Easy Microarray data analysis.


ABSTRACT: BACKGROUND: The increasing number of methodologies and tools currently available to analyse gene expression microarray data can be confusing for non specialist users. FINDINGS: Based on the experience of biostatisticians of Institut Curie, we propose both a clear analysis strategy and a selection of tools to investigate microarray gene expression data. The most usual and relevant existing R functions were discussed, validated and gathered in an easy-to-use R package (EMA) devoted to gene expression microarray analysis. These functions were improved for ease of use, enhanced visualisation and better interpretation of results. CONCLUSIONS: Strategy and tools proposed in the EMA R package could provide a useful starting point for many microarrays users. EMA is part of Comprehensive R Archive Network and is freely available at http://bioinfo.curie.fr/projects/ema/.

SUBMITTER: Servant N 

PROVIDER: S-EPMC2987873 | biostudies-literature | 2010

REPOSITORIES: biostudies-literature

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<h4>Background</h4>The increasing number of methodologies and tools currently available to analyse gene expression microarray data can be confusing for non specialist users.<h4>Findings</h4>Based on the experience of biostatisticians of Institut Curie, we propose both a clear analysis strategy and a selection of tools to investigate microarray gene expression data. The most usual and relevant existing R functions were discussed, validated and gathered in an easy-to-use R package (EMA) devoted to  ...[more]

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