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Rank-based single-sample gene set scoring method

Bioconductor version: Release (3.19)

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] , Ruqian Lyu [aut, ctb], Momeneh Foroutan [aut, ctb] , Malvika Kharbanda [aut, cre]

Maintainer: Malvika Kharbanda <kharbanda.m at>

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


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Single sample scoring HTML R Script
Reference Manual PDF


biocViews GeneExpression, GeneSetEnrichment, Software
Version 1.24.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License GPL-3
Depends R (>= 3.6)
Imports methods, stats, graphics, ggplot2, grDevices, ggrepel, GSEABase, plotly, tidyr, plyr, magrittr, reshape, edgeR, RColorBrewer, Biobase, BiocParallel, SummarizedExperiment, matrixStats, reshape2, S4Vectors
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Suggests pkgdown, BiocStyle, hexbin, knitr, rmarkdown, testthat, covr
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Imports Me TBSignatureProfiler, SingscoreAMLMutations, clustermole
Suggests Me mastR, vissE, msigdb
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Source Package singscore_1.24.0.tar.gz
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