Package: EMA
Type: Package
Title: Easy Microarray Data Analysis
Version: 1.4.5
Author: Nicolas Servant, Eleonore Gravier, Pierre Gestraud, Cecile Laurent, Caroline Paccard, Anne Biton, Jonas Mandel, Bernard Asselain, Emmanuel Barillot, Philippe Hupe
Maintainer: Pierre Gestraud <pierre.gestraud@curie.fr>
Description: 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.
License: GPL-3
LazyLoad: yes
Depends: R (>= 2.10)
Imports: siggenes, affy, multtest, survival, xtable, gcrma,
        heatmap.plus, biomaRt, GSA, MASS, FactoMineR, cluster,
        AnnotationDbi, Biobase
Suggests: hgu133plus2.db, lumi, GOstats, Category, vsn,GO.db,
        BiocGenerics, GSEABase
NeedsCompilation: no
Packaged: 2016-09-07 09:42:28 UTC; gestraud
Repository: CRAN
Date/Publication: 2016-09-07 13:01:55
Built: R 3.4.4; ; 2019-04-25 23:14:12 UTC; windows
