Package: acde 1.43.0

Juan Pablo Acosta

acde: Artificial Components Detection of Differentially Expressed Genes

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).

Authors:Juan Pablo Acosta, Liliana Lopez-Kleine

acde_1.43.0.tar.gz
acde_1.43.0.zip(r-4.7)acde_1.43.0.zip(r-4.6)acde_1.43.0.zip(r-4.5)
acde_1.43.0.tgz(r-4.6-any)acde_1.43.0.tgz(r-4.5-any)
acde_1.43.0.tar.gz(r-4.7-any)acde_1.43.0.tar.gz(r-4.6-any)
acde_1.43.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
acde/json (API)
NEWS

# Install 'acde' in R:
install.packages('acde', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • phytophthora - Gene Expression Data for Tomato Plants Inoculated with _Phytophthora infestans_

On BioConductor:acde-1.43.0(bioc 3.24)acde-1.42.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

differentialexpressiontimecourseprincipalcomponentgeneexpressionmicroarraymrnamicroarray

3.30 score 6 scripts 542 downloads 7 exports 1 dependencies

Last updated from:847deff34f. Checks:2 ERROR, 6 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR143
linux-devel-x86_64NOTE168
source / vignettesOK160
linux-release-x86_64ERROR188
macos-release-arm64NOTE78
macos-oldrel-arm64NOTE105
windows-develNOTE126
windows-releaseNOTE103
windows-oldrelNOTE94
wasm-releaseOK97

Exports:acac2bcaFDRfdrqvalstptc

Dependencies:boot

Identification of Differentially Expressed Genes with Artificial Components

Rendered fromacde.Rnwusingutils::Sweaveon May 29 2026.

Last update: 2015-05-24
Started: 2015-05-11