decoupleR

DOI:10.18129/B9.bioc.decoupleR

decoupleR: Ensemble of computational methods to infer biological activities from omics data

Bioconductor版本:版本(3.15)

Many methods allow us to extract biological activities from omics data using information from prior knowledge resources, reducing the dimensionality for increased statistical power and better interpretability. Here, we present decoupleR, a Bioconductor package containing different statistical methods to extract these signatures within a unified framework. decoupleR allows the user to flexibly test any method with any resource. It incorporates methods that take into account the sign and weight of network interactions. decoupleR can be used with any omic, as long as its features can be linked to a biological process based on prior knowledge. For example, in transcriptomics gene sets regulated by a transcription factor, or in phospho-proteomics phosphosites that are targeted by a kinase.

Author: Pau Badia-i-Mompel [aut, cre], Jesús Vélez-Santiago [aut], Jana Braunger [aut], Celina Geiss [aut], Daniel Dimitrov [aut], Sophia Müller-Dott [aut], Petr Taus [aut], Aurélien Dugourd [aut], Christian H. Holland [aut], Ricardo O. Ramirez Flores [aut], Julio Saez-Rodriguez [aut]

Maintainer: Pau Badia-i-Mompel

Installation

To install this package, start R (version "4.2") and enter:

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

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

Documentation

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

browseVignettes("decoupleR")

HTML	R Script	Introduction
HTML	R Script	Pathway activity activity inference from scRNA-seq
HTML	R Script	Pathway activity inference in bulk RNA-seq
HTML	R Script	Transcription factor activity inference from scRNA-seq
HTML	R Script	Transcription factor activity inference in bulk RNA-seq
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	DifferentialExpression,FunctionalGenomics,GeneExpression,GeneRegulation,Network,Software,StatisticalMethod,Transcription
Version	2.2.2
In Bioconductor since	BioC 3.13 (R-4.1) (1.5 years)
License	GPL-3 + fileLICENSE
Depends	R (>= 4.0)
Imports	broom,dplyr,magrittr,Matrix,purrr,rlang, stats,stringr,tibble,tidyr,tidyselect,withr
LinkingTo
Suggests	glmnet(>= 4.1.0),GSVA,viper,fgsea(>= 1.15.4),AUCell,SummarizedExperiment,rpart,ranger,BiocStyle,covr,knitr,pkgdown,RefManageR,rmarkdown,roxygen2,sessioninfo,pheatmap,testthat,OmnipathR,Seurat,ggplot2,ggrepel,patchwork
SystemRequirements
Enhances
URL	https://saezlab.github.io/decoupleR/
BugReports	https://github.com/saezlab/decoupleR/issues
Depends On Me
Imports Me	progeny
Suggests Me
Links To Me
Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package	decoupleR_2.2.2.tar.gz
Windows Binary	decoupleR_2.2.2.zip
macOS Binary (x86_64)	decoupleR_2.2.2.tgz
Source Repository	git clone https://git.bioconductor.org/packages/decoupleR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/decoupleR
Package Short Url	//www.andersvercelli.com/packages/decoupleR/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.15	Source Archive