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CoGAPS

This is thereleased version of CoGAPS; for the devel version, seeCoGAPS.

Coordinated Gene Activity in Pattern Sets

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DOI: 10.18129/B9.bioc.CoGAPS


Bioconductor version: Release (3.22)

Coordinated Gene Activity in Pattern Sets (CoGAPS) implements a Bayesian MCMC matrix factorization algorithm, GAPS, and links it to gene set statistic methods to infer biological process activity. It can be used to perform sparse matrix factorization on any data, and when this data represents biomolecules, to do gene set analysis.

Author: Jeanette Johnson, Ashley Tsang, Jacob Mitchell, Thomas Sherman, Wai-shing Lee, Conor Kelton, Ondrej Maxian, Jacob Carey, Genevieve Stein-O'Brien, Michael Considine, Maggie Wodicka, John Stansfield, Shawn Sivy, Carlo Colantuoni, Alexander Favorov, Mike Ochs, Elana Fertig

Maintainer: Elana J. Fertig <ejfertig at jhmi.edu>, Thomas D. Sherman <tomsherman159 at gmail.com>, Jeanette Johnson <jjohn450 at jhmi.edu>, Dmitrijs Lvovs <dlvovs1 at jh.edu>

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

Installation

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

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

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("CoGAPS")
CoGAPSHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsBayesian,Clustering,DifferentialExpression,DimensionReduction,GeneExpression,GeneSetEnrichment,ImmunoOncology,Microarray,MultipleComparison,RNASeq,Software,TimeCourse,Transcription
Version3.30.0
In Bioconductor sinceBioC 2.7 (R-2.12) (15 years)
LicenseBSD_3_clause + fileLICENSE
DependsR (>= 3.5.0)
ImportsBiocParallel,cluster, methods,gplots, graphics, grDevices,RColorBrewer,Rcpp,S4Vectors,SingleCellExperiment, stats,SummarizedExperiment, tools, utils,rhdf5,dplyr,fgsea,forcats,ggplot2
System Requirements
URL
See More
Suggeststestthat,knitr,rmarkdown,BiocStyle,SeuratObject,BiocFileCache,xml2
Linking ToRcpp,BH,testthat
Enhances
Depends On Me
Imports Me
Suggests MeprojectR,SpaceMarkers
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageCoGAPS_3.30.0.tar.gz
Windows Binary (x86_64) CoGAPS_3.30.0.zip (64-bit only)
macOS Binary (x86_64)CoGAPS_3.30.0.tgz
macOS Binary (arm64)CoGAPS_3.30.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/CoGAPS
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/CoGAPS
Bioc Package Browserhttps://code.bioconductor.org/browse/CoGAPS/
Package Short Urlhttps://bioconductor.org/packages/CoGAPS/
Package Downloads ReportDownload Stats

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