Artificial Components Detection of Differentially Expressed
Genes
Description
This package provides a multivariate inferential analysis
method for detecting differentially expressed genes in gene
expression data. It uses artificial components, close to the
data's principal components but with an exact interpretation in
terms of differential genetic expression, to identify
differentially expressed genes while controlling the false
discovery rate (FDR). The methods on this package are described
in the vignette or in the article 'Multivariate Method for
Inferential Identification of Differentially Expressed Genes in
Gene Expression Experiments' by J. P. Acosta, L. Lopez-Kleine
and S. Restrepo (2015, pending publication).