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.
| Version: |
1.3.2 |
| Depends: |
R (≥ 2.10), cluster, heatmap.plus, FactoMineR, GOstats, survival, multtest, gcrma, rgl, GSA, RankProd, siggenes, MASS, biomaRt, xtable, AnnotationDbi |
| Suggests: |
hgu133plus2.db, lumi, vsn |
| Published: |
2012-03-21 |
| Author: |
EMA group |
| Maintainer: |
<ema-package at curie.fr> |
| License: |
GPL |
| CRAN checks: |
EMA results |