Last data update: 2014.03.03
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acde
Package: acde
Type: Package
Title: Artificial Components Detection of Differentially Expressed
Genes
Version: 1.2.0
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 (>= 3.2), boot (>= 1.3)
Suggests: BiocGenerics, RUnit
Encoding: UTF-8
biocViews: DifferentialExpression, TimeCourse, PrincipalComponent,
GeneExpression, Microarray, mRNAMicroarray
NeedsCompilation: no
Packaged: 2016-05-04 06:19:57 UTC; biocbuild
● BiocViews: DifferentialExpression, GeneExpression, Microarray, PrincipalComponent, TimeCourse, mRNAMicroarray
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36 images,
11 functions,
1 datasets
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Reverse Depends: 0
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'acde' ...
** R
** data
*** moving datasets to lazyload DB
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'acde'
finding HTML links ... done
ac html
acde-package html
bcaFDR html
fdr html
phytophthora html
plot.STP html
plot.TC html
print.STP html
print.TC html
qval html
stp html
tc html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (acde)
Making 'packages.html' ... done
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