progeny

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see progeny.

Pathway RespOnsive GENes for activity inference from gene expression


Bioconductor version: 3.13

This package provides a function to infer pathway activity from gene expression using PROGENy. It contains the linear model we inferred in the publication "Perturbation-response genes reveal signaling footprints in cancer gene expression".

Author: Michael Schubert [aut], Alberto Valdeolivas [cre, ctb] , Christian H. Holland [ctb] , Igor Bulanov [ctb], Aurélien Dugourd [ctb]

Maintainer: Alberto Valdeolivas <alvaldeolivas at gmail.com>

Citation (from within R, enter citation("progeny")):

Installation

To install this package, start R (version "4.1") and enter:


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

BiocManager::install("progeny")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("progeny")
Applying PROGENy on single-cell RNA-seq data HTML R Script
PROGENy pathway signatures: Application to Bulk transcriptomics HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews FunctionalPrediction, GeneExpression, GeneRegulation, Software, SystemsBiology
Version 1.14.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 years)
License Apache License (== 2.0) | file LICENSE
Depends R (>= 3.6.0)
Imports Biobase, stats, dplyr, tidyr, ggplot2, ggrepel, gridExtra
System Requirements
URL https://github.com/saezlab/progeny
Bug Reports https://github.com/saezlab/progeny/issues
See More
Suggests airway, biomaRt, BiocFileCache, broom, Seurat, SingleCellExperiment, DESeq2, BiocStyle, knitr, readr, readxl, pheatmap, tibble, testthat (>= 2.1.0)
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me mistyR
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package progeny_1.14.0.tar.gz
Windows Binary progeny_1.14.0.zip
macOS 10.13 (High Sierra) progeny_1.14.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/progeny
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/progeny
Bioc Package Browser https://code.bioconductor.org/browse/progeny/
Package Short Url https://bioconductor.org/packages/progeny/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.13 Source Archive