DOI: 10.18129/B9.bioc.singscore    

Rank-based single-sample gene set scoring method

Bioconductor version: Release (3.8)

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>

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


To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
BiocManager::install("singscore", version = "3.8")

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


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biocViews GO, GeneExpression, GeneSetEnrichment, GraphAndNetwork, KEGG, Software
Version 1.2.2
In Bioconductor since BioC 3.7 (R-3.5) (1 year)
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
Suggests knitr, rmarkdown, testthat
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