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progeny

This is thereleased version of progeny; for the devel version, seeprogeny.

Pathway RespOnsive GENes for activity inference from gene expression

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DOI: 10.18129/B9.bioc.progeny


Bioconductor version: Release (3.22)

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.

Author: Michael Schubert [aut], Alberto Valdeolivas [ctb]ORCID iD ORCID: 0000-0001-5482-9023, Christian H. Holland [ctb]ORCID iD ORCID: 0000-0002-3060-5786, Igor Bulanov [ctb], Aurélien Dugourd [cre, ctb]

Maintainer: Aurélien Dugourd <aurelien.dugourd at bioquant.uni-heidelberg.de>

Citation (from within R, entercitation("progeny")):

Installation

To install this package, start R (version "4.5") and enter:

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

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

Documentation

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

browseVignettes("progeny")
PROGENy pathway signaturesHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsFunctionalPrediction,GeneExpression,GeneRegulation,Software,SystemsBiology
Version1.32.0
In Bioconductor sinceBioC 3.6 (R-3.4) (8 years)
LicenseApache License (== 2.0) | fileLICENSE
DependsR (>= 3.6.0)
ImportsBiobase, stats,dplyr,tidyr,ggplot2,ggrepel,gridExtra,decoupleR,reshape2
System Requirements
URLhttps://github.com/saezlab/progeny
Bug Reportshttps://github.com/saezlab/progeny/issues
See More
Suggestsairway,biomaRt,BiocFileCache,broom,Seurat,SingleCellExperiment,DESeq2,BiocStyle,knitr,readr,readxl,pheatmap,tibble,rmarkdown,testthat (>= 2.1.0)
Linking To
Enhances
Depends On Me
Imports Meeasier
Suggests Meautonomics
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packageprogeny_1.32.0.tar.gz
Windows Binary (x86_64) progeny_1.32.0.zip
macOS Binary (x86_64)progeny_1.32.0.tgz
macOS Binary (arm64)progeny_1.32.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/progeny
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/progeny
Bioc Package Browserhttps://code.bioconductor.org/browse/progeny/
Package Short Urlhttps://bioconductor.org/packages/progeny/
Package Downloads ReportDownload Stats

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