EMA (1.3.1)

Easy Microarray data Analysis.


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.

Maintainer: Unknown
Author(s): EMA group

License: GPL

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

Released about 8 years ago.