DOI: 10.18129/B9.bioc.acde    

This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see acde.

Artificial Components Detection of Differentially Expressed Genes

Bioconductor version: 3.12

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).

Author: Juan Pablo Acosta, Liliana Lopez-Kleine

Maintainer: Juan Pablo Acosta <jpacostar at>

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biocViews DifferentialExpression, GeneExpression, Microarray, PrincipalComponent, Software, TimeCourse, mRNAMicroarray
Version 1.20.0
In Bioconductor since BioC 3.2 (R-3.2) (5.5 years)
License GPL-3
Depends R (>= 3.3), boot (>= 1.3)
Imports stats, graphics
Suggests BiocGenerics, RUnit
Depends On Me
Imports Me coexnet
Suggests Me
Links To Me
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