cTRAP
Identification of candidate causal perturbations from differential gene expression data
Bioconductor version: 3.23 · Package version: 1.30.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("cTRAP") Details
| Maintainer | Nuno Saraiva-Agostinho <nunodanielagostinho@gmail.com> |
| Author | Bernardo P. de Almeida [aut], Nuno Saraiva-Agostinho [aut, cre], Nuno L. Barbosa-Morais [aut, led] |
| License | MIT + file LICENSE |
| URL | https://nuno-agostinho.github.io/cTRAP, https://github.com/nuno-agostinho/cTRAP |
| Bug Reports | https://github.com/nuno-agostinho/cTRAP/issues |
| Downloads rank | 324 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, GeneExpression, GeneSetEnrichment, ImmunoOncology, Pathways, RNASeq, Software, Transcriptomics |
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Dependencies
Depends: R (>= 4.0)
Imports: AnnotationDbi, AnnotationHub, binr, cowplot, data.table, dplyr, DT, fastmatch, fgsea, ggplot2, ggrepel, graphics, highcharter, htmltools, httr, limma, methods, parallel, pbapply, purrr, qs2, R.utils, readxl, reshape2, rhdf5, rlang, scales, shiny (>= 1.7.0), shinycssloaders, stats, tibble, tools, utils
Suggests: testthat, knitr, covr, rmarkdown, spelling, biomaRt, remotes