singscore
Rank-based single-sample gene set scoring method
Bioconductor version: 3.23 · Package version: 1.32.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("singscore")Details
| Maintainer | Malvika Kharbanda <kharbanda.m@wehi.edu.au> |
| Author | Dharmesh D. Bhuva [aut] (ORCID: <https://orcid.org/0000-0002-6398-9157>), Ruqian Lyu [aut, ctb], Momeneh Foroutan [aut, ctb] (ORCID: <https://orcid.org/0000-0002-1440-0457>), Malvika Kharbanda [aut, cre] (ORCID: <https://orcid.org/0000-0001-9726-3023>) |
| License | GPL-3 |
| URL | https://davislaboratory.github.io/singscore |
| Bug Reports | https://github.com/DavisLaboratory/singscore/issues |
| Downloads rank | 2255 |
| Source branch | RELEASE_3_23 |
| biocViews | GeneExpression, GeneSetEnrichment, Software |
Documentation
Download
Dependencies
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
Suggests: pkgdown, BiocStyle, hexbin, knitr, rmarkdown, testthat, covr
Reverse dependencies
Imports Me (5): clustermole, GSABenchmark, pathMED, TBSignatureProfiler, xCell2