EMA (1.4.7)

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Easy Microarray Data Analysis.


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.

Maintainer: Pierre Gestraud
Author(s): Nicolas Servant, Eleonore Gravier, Pierre Gestraud, Cecile Laurent, Caroline Paccard, Anne Biton, Jonas Mandel, Bernard Asselain, Emmanuel Barillot, Philippe Hupe

License: GPL-3

Uses: cluster, FactoMineR, GSA, heatmap.plus, MASS, multtest, survival, xtable

Released about 1 month ago.

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