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Bioconductor - singscore

singscore

This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see singscore.

Rank-based single-sample gene set scoring method

Bioconductor version: 3.10

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

Maintainer: Dharmesh D. Bhuva <bhuva.d at wehi.edu.au>

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

To install this package, start R (version "3.6") and enter:


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

BiocManager::install("singscore")

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

Documentation

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

browseVignettes("singscore")
Details biocViews GeneExpression, GeneSetEnrichment, Software Version 1.6.0 In Bioconductor since BioC 3.7 (R-3.5) (6 years) License GPL-3 Depends R (>= 3.5), GSEABase Imports methods, stats, graphics, ggplot2, grDevices, ggrepel, plotly, tidyr, plyr, magrittr, reshape, edgeR, RColorBrewer, Biobase, BiocParallel, SummarizedExperiment, matrixStats, reshape2, S4Vectors System Requirements URL https://davislaboratory.github.io/singscore Bug Reports https://github.com/DavisLaboratory/singscore/issues See More Package Archives

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

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