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GenomicSuperSignature

This is the development version of GenomicSuperSignature; for the stable release version, see GenomicSuperSignature.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13

Interpretation of RNA-seq experiments through robust, efficient comparison to public databases


Bioconductor version: Development (3.24)

This package provides a novel method for interpreting new transcriptomic datasets through near-instantaneous comparison to public archives without high-performance computing requirements. Through the pre-computed index, users can identify public resources associated with their dataset such as gene sets, MeSH term, and publication. Functions to identify interpretable annotations and intuitive visualization options are implemented in this package.

Author: Sehyun Oh [aut, cre], Levi Waldron [aut], Sean Davis [aut]

Maintainer: Sehyun Oh <shbrief at gmail.com>

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

Sehyun Oh, Levi Waldron, Sean Davis. GenomicSuperSignature: Interpretation of RNA-seq experiments through robust, efficient comparison to public databases. doi:10.18129/B9.bioc.GenomicSuperSignature, R package version 1.21.0, https://bioconductor.org/packages/GenomicSuperSignature.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("GenomicSuperSignature")

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("GenomicSuperSignature")
Structure and content of RAVmodel HTML R Script
GenomicSuperSignature - Quickstart HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Clustering, Pathways, PrincipalComponent, RNASeq, Sequencing, Software, SystemsBiology, Transcriptomics
Version1.21.0
In Bioconductor sinceBioC 3.13 (R-4.1) (5.5 years)
License Artistic-2.0
Depends R (>= 4.1.0), SummarizedExperiment
Imports ComplexHeatmap, ggplot2, methods, S4Vectors, Biobase, ggpubr, dplyr, plotly, BiocFileCache, grid, flextable, irlba
System Requirements
URLhttps://github.com/shbrief/GenomicSuperSignature
Bug Reportshttps://github.com/shbrief/GenomicSuperSignature/issues
See More
Suggests knitr, rmarkdown, devtools, roxygen2, pkgdown, usethis, BiocStyle, testthat, forcats, stats, wordcloud, circlize, EnrichmentBrowser, clusterProfiler, msigdbr, cluster, RColorBrewer, reshape2, tibble, BiocManager, bcellViper, readr, utils
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GenomicSuperSignature_1.21.0.tar.gz
Windows Binary (x86_64) GenomicSuperSignature_1.21.0.zip
macOS Binary (big-sur-x86_64) GenomicSuperSignature_1.21.0.tgz
macOS Binary (sonoma-arm64) GenomicSuperSignature_1.21.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/GenomicSuperSignature
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/GenomicSuperSignature
Package Short Url https://bioconductor.org/packages/GenomicSuperSignature/
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