Package: acde
Type: Package
Title: Artificial Components Detection of Differentially Expressed
        Genes
Version: 1.14.0
Date: 2015-02-25
Author: Juan Pablo Acosta, Liliana Lopez-Kleine
Maintainer: Juan Pablo Acosta <jpacostar@unal.edu.co>
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).
License: GPL-3
LazyData: yes
Depends: R(>= 3.3), boot(>= 1.3)
Imports: stats, graphics
Suggests: BiocGenerics, RUnit
Encoding: UTF-8
biocViews: DifferentialExpression, TimeCourse, PrincipalComponent,
        GeneExpression, Microarray, mRNAMicroarray
NeedsCompilation: no
git_url: https://git.bioconductor.org/packages/acde
git_branch: RELEASE_3_9
git_last_commit: 6017c74
git_last_commit_date: 2019-05-02
Date/Publication: 2019-05-02
Packaged: 2019-05-03 03:36:20 UTC; biocbuild
Built: R 3.6.0; ; 2019-05-03 12:45:53 UTC; windows
