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singscore

This is thereleased version of singscore; for the devel version, seesingscore.

Rank-based single-sample gene set scoring method

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DOI: 10.18129/B9.bioc.singscore


Bioconductor version: Release (3.22)

A simple single-sample gene signature scoring method that uses rank-based statistics to analyze the sample's gene expression profile. It scores the expression activities of gene sets at a single-sample level.

Author: Dharmesh D. Bhuva [aut]ORCID iD ORCID: 0000-0002-6398-9157, Ruqian Lyu [aut, ctb], Momeneh Foroutan [aut, ctb]ORCID iD ORCID: 0000-0002-1440-0457, Malvika Kharbanda [aut, cre]ORCID iD ORCID: 0000-0001-9726-3023

Maintainer: Malvika Kharbanda <kharbanda.m at wehi.edu.au>

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

Installation

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

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

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("singscore")
Single sample scoringHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsGeneExpression,GeneSetEnrichment,Software
Version1.30.0
In Bioconductor sinceBioC 3.7 (R-3.5) (7.5 years)
LicenseGPL-3
DependsR (>= 3.6)
Importsmethods, stats, graphics,ggplot2, grDevices,ggrepel,GSEABase,plotly,tidyr,plyr,magrittr,reshape,edgeR,RColorBrewer,Biobase,BiocParallel,SummarizedExperiment,matrixStats,reshape2,S4Vectors
System Requirements
URLhttps://davislaboratory.github.io/singscore
Bug Reportshttps://github.com/DavisLaboratory/singscore/issues
See More
Suggestspkgdown,BiocStyle,hexbin,knitr,rmarkdown,testthat,covr
Linking To
Enhances
Depends On Me
Imports MepathMED,TBSignatureProfiler,xCell2,clustermole
Suggests MemastR,vissE,msigdb
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagesingscore_1.30.0.tar.gz
Windows Binary (x86_64) singscore_1.30.0.zip
macOS Binary (x86_64)singscore_1.30.0.tgz
macOS Binary (arm64)singscore_1.30.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/singscore
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/singscore
Bioc Package Browserhttps://code.bioconductor.org/browse/singscore/
Package Short Urlhttps://bioconductor.org/packages/singscore/
Package Downloads ReportDownload Stats

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