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variancePartition

This is thereleased version of variancePartition; for the devel version, seevariancePartition.

Quantify and interpret drivers of variation in multilevel gene expression experiments

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DOI: 10.18129/B9.bioc.variancePartition


Bioconductor version: Release (3.22)

Quantify and interpret multiple sources of biological and technical variation in gene expression experiments. Uses a linear mixed model to quantify variation in gene expression attributable to individual, tissue, time point, or technical variables. Includes dream differential expression analysis for repeated measures.

Author: Gabriel Hoffman [aut, cre]ORCID iD ORCID: 0000-0002-0957-0224

Maintainer: Gabriel E. Hoffman <gabriel.hoffman at mssm.edu>

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

Installation

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

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

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("variancePartition")
1) Variance partitioning analysisHTMLR Script
2) Additional visualizationsHTMLR Script
3) Theory and practice of random effects and REMLHTMLR Script
4) dream: differential expression testing with repeated measures designsHTMLR Script
5) Error handlingHTMLR Script
6) Frequently asked questionsHTMLR Script
7) Multivariate testsHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsBatchEffect,DifferentialExpression,Epigenetics,FunctionalGenomics,GeneExpression,GeneSetEnrichment,ImmunoOncology,Microarray,Normalization,Preprocessing,QualityControl,RNASeq,Regression,Software,Transcriptomics
Version1.40.1
In Bioconductor sinceBioC 3.2 (R-3.2) (10 years)
LicenseGPL-2
DependsR (>= 4.3.0),ggplot2,limma(>= 3.62.2),BiocParallel
ImportsMASS,pbkrtest (>= 0.4-4),lmerTest,Matrix (>= 1.4.0),iterators,gplots,corpcor,reformulas,matrixStats,RhpcBLASctl,reshape2,gtools,remaCor (>= 0.0.15),fANCOVA,aod,scales,Rdpack,rlang,lme4 (>= 1.1.33), grDevices, graphics,Biobase, methods, utils, stats
System Requirements
URLhttp://bioconductor.org/packages/variancePartitionhttps://DiseaseNeuroGenomics.github.io/variancePartition
Bug Reportshttps://github.com/DiseaseNeuroGenomics/variancePartition/issues
See More
SuggestsBiocStyle,knitr,pander,rmarkdown,edgeR,dendextend,tximport,tximportData,ballgown,DESeq2,RUnit,cowplot,Rfast,zenith,statmod,BiocGenerics,r2glmm,readr
Linking To
Enhances
Depends On Medreamlet
Imports Mecrumblr,muscat,zenith
Suggests MeGRaNIE
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagevariancePartition_1.40.1.tar.gz
Windows Binary (x86_64) variancePartition_1.40.0.zip
macOS Binary (x86_64)variancePartition_1.40.1.tgz
macOS Binary (arm64)variancePartition_1.40.1.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/variancePartition
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/variancePartition
Bioc Package Browserhttps://code.bioconductor.org/browse/variancePartition/
Package Short Urlhttps://bioconductor.org/packages/variancePartition/
Package Downloads ReportDownload Stats
Old Source Packages for BioC 3.22Source Archive

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