Bioconductor 3.23 Release Schedule

GraphExperiment

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

S4 Class for Quantitative Data and Associated Networks


Bioconductor version: Development (3.23)

GraphExperiment provides users and developers with an S4 class that extends `SingleCellExperiment` by offering infrastructure to store and retrieve networks (`igraph` objects) representing how features are associated with each other. The class was designed to store networks inferred from high-dimensional quantitative data, including gene coexpression networks (GCNs), gene regulatory networks (GRNs), and co-abundance networks (from proteomics and metabolomics), as well as networks inferred from other types of data (e.g., protein-protein interactions).

Author: Fabricio Almeida-Silva [aut, cre] ORCID iD ORCID: 0000-0002-5314-2964 , Yves Van de Peer [aut] ORCID iD ORCID: 0000-0003-4327-3730

Maintainer: Fabricio Almeida-Silva <fabricio_almeidasilva at hotmail.com>

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

Installation

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("GraphExperiment")

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("GraphExperiment")
Introduction to the GraphExperiment class HTML R Script
Reference Manual PDF

Details

biocViews DataImport, DataRepresentation, GeneExpression, Infrastructure, Network, SingleCell, Software, Transcriptomics
Version 0.99.1
In Bioconductor since BioC 3.23 (R-4.6)
License GPL-3
Depends SingleCellExperiment, igraph
Imports methods, SummarizedExperiment, BiocBaseUtils, S4Vectors
System Requirements
URL https://github.com/almeidasilvaf/GraphExperiment
Bug Reports https://support.bioconductor.org/tag/GraphExperiment
See More
Suggests knitr, BiocStyle, testthat, rmarkdown, covr, sessioninfo
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Package Archives

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

Source Package GraphExperiment_0.99.1.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (big-sur-arm64)
macOS Binary (sonoma-arm64) GraphExperiment_0.99.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/GraphExperiment
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GraphExperiment
Bioc Package Browser https://code.bioconductor.org/browse/GraphExperiment/
Package Short Url https://bioconductor.org/packages/GraphExperiment/
Package Downloads Report Download Stats