Bioc2026 Registration Open!

progeny

Pathway RespOnsive GENes for activity inference from gene expression

Bioconductor version: 3.23 · Package version: 1.34.0

PROGENy is resource that leverages a large compendium of publicly available signaling perturbation experiments to yield a common core of pathway responsive genes for human and mouse. These, coupled with any statistical method, can be used to infer pathway activities from bulk or single-cell transcriptomics.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("progeny")

Details

MaintainerAurélien Dugourd <aurelien.dugourd@bioquant.uni-heidelberg.de>
AuthorMichael Schubert [aut], Alberto Valdeolivas [ctb] (ORCID: <https://orcid.org/0000-0001-5482-9023>), Christian H. Holland [ctb] (ORCID: <https://orcid.org/0000-0002-3060-5786>), Igor Bulanov [ctb], Aurélien Dugourd [cre, ctb]
LicenseApache License (== 2.0) | file LICENSE
URLhttps://github.com/saezlab/progeny
Bug Reportshttps://github.com/saezlab/progeny/issues
Downloads rank1217
Source branchRELEASE_3_23
biocViewsFunctionalPrediction, GeneExpression, GeneRegulation, Software, SystemsBiology

Documentation

Download

Dependencies

Depends: R (>= 3.6.0)

Imports: Biobase, stats, dplyr, tidyr, ggplot2, ggrepel, gridExtra, decoupleR, reshape2

Suggests: airway, biomaRt, BiocFileCache, broom, Seurat, SingleCellExperiment, DESeq2, BiocStyle, knitr, readr, readxl, pheatmap, tibble, rmarkdown, testthat (>= 2.1.0)

Reverse dependencies

Imports Me (1): easier

Suggests Me (1): autonomics