This is the released version of cTRAP; for the devel version, see cTRAP.
Identification of candidate causal perturbations from differential gene expression dataBioconductor version: Release (3.21)
Compare differential gene expression results with those from known cellular perturbations (such as gene knock-down, overexpression or small molecules) derived from the Connectivity Map. Such analyses allow not only to infer the molecular causes of the observed difference in gene expression but also to identify small molecules that could drive or revert specific transcriptomic alterations.
Author: Bernardo P. de Almeida [aut], Nuno Saraiva-Agostinho [aut, cre], Nuno L. Barbosa-Morais [aut, led]
Maintainer: Nuno Saraiva-Agostinho <nunodanielagostinho at gmail.com>
Citation (from within R, entercitation("cTRAP")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("cTRAP")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cTRAP")Follow Installation instructions to use this package in your R session.
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