DOI: 10.18129/B9.bioc.singscore    

This is the development version of singscore; to use it, please install the devel version of Bioconductor.

Rank-based single-sample gene set scoring method

Bioconductor version: Development (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>

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


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HTML R Script 1. Differential co-expression analysis
PDF   Reference Manual


biocViews GeneExpression, GeneSetEnrichment, Software
Version 1.5.0
In Bioconductor since BioC 3.7 (R-3.5) (1 year)
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
Suggests knitr, rmarkdown, testthat
Depends On Me
Imports Me SingscoreAMLMutations
Suggests Me
Links To Me
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