singscore
This is the released version of singscore; for the devel version, see singscore.
Rank-based single-sample gene set scoring method
Bioconductor version: Release (3.23)
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 wehi.edu.au>
citation("singscore")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") 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")| Single sample scoring | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | GeneExpression, GeneSetEnrichment, Software |
| Version | 1.32.0 |
| In Bioconductor since | BioC 3.7 (R-3.5) (8.5 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 |
| System Requirements | |
| URL | https://davislaboratory.github.io/singscore |
| Bug Reports | https://github.com/DavisLaboratory/singscore/issues |
See More
| Suggests | pkgdown, BiocStyle, hexbin, knitr, rmarkdown, testthat, covr |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | GSABenchmark, pathMED, TBSignatureProfiler, xCell2, clustermole |
| Suggests Me | mastR, vissE, msigdb |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | singscore_1.32.0.tar.gz |
| Windows Binary (x86_64) | singscore_1.32.0.zip (64-bit only) |
| macOS Binary (big-sur-x86_64) | singscore_1.32.0.tgz |
| macOS Binary (sonoma-arm64) | singscore_1.32.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/singscore |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/singscore |
| Bioc Package Browser | https://code.bioconductor.org/browse/singscore/ |
| Package Short Url | https://bioconductor.org/packages/singscore/ |
| Package Downloads Report | Download Stats |