EMA (1.3.2)

Easy Microarray data Analysis.

http://cran.r-project.org/web/packages/EMA

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: Unknown
Author(s): EMA group

License: GPL

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

Released over 7 years ago.