singscore

DOI: 10.18129/B9.bioc.singscore    

Rank-based single-sample gene set scoring method

Bioconductor version: Release (3.7)

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: Momeneh Foroutan [aut, ctb], Dharmesh Bhuva [aut, ctb], Ruqian Lyu [aut, cre]

Maintainer: Ruqian Lyu <ruqianl at student.unimelb.edu.au>

Citation (from within R, enter citation("singscore")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("singscore")

Documentation

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PDF   Reference Manual
Text   NEWS

Details

biocViews GeneExpression, GeneSetEnrichment, Software
Version 1.0.0
License GPL-3
Depends R (>= 3.5), GSEABase
Imports methods, stats, graphics, ggplot2, ggsci, grDevices, ggrepel, plotly, tidyr, plyr, magrittr, reshape, edgeR, RColorBrewer, Biobase, BiocParallel, SummarizedExperiment, matrixStats
LinkingTo
Suggests knitr, rmarkdown, testthat
SystemRequirements
Enhances
URL https://github.com/DavisLaboratory/singscore
BugReports https://github.com/DavisLaboratory/singscore/issues
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package singscore_1.0.0.tar.gz
Windows Binary singscore_1.0.0.zip
Mac OS X 10.11 (El Capitan) singscore_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/singscore
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/singscore
Package Short Url http://bioconductor.org/packages/singscore/
Package Downloads Report Download Stats

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