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GraphExperiment

S4 Class for Quantitative Data and Associated Networks

Bioconductor version: 3.23 · Package version: 1.0.2

GraphExperiment provides users and developers with an S4 class that extends `SingleCellExperiment` by offering infrastructure to store and retrieve networks (`igraph` objects) representing how assay features and/or observations are associated with each other. The class was designed to store networks inferred from high-dimensional quantitative data, with feature-feature networks including gene coexpression networks (GCNs), gene regulatory networks (GRNs), and co-abundance networks (from proteomics and metabolomics), and observation-observation network including cell-cell distances, species-species relationships, and sample-sample similarities.

Installation

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

BiocManager::install("GraphExperiment")

Details

MaintainerFabricio Almeida-Silva <fabricio_almeidasilva@hotmail.com>
AuthorFabricio Almeida-Silva [aut, cre] (ORCID: <https://orcid.org/0000-0002-5314-2964>)
LicenseGPL-3
URLhttps://github.com/almeidasilvaf/GraphExperiment
Bug Reportshttps://support.bioconductor.org/tag/GraphExperiment
Downloads rank46
Source branchRELEASE_3_23
biocViewsDataImport, DataRepresentation, GeneExpression, Infrastructure, Network, SingleCell, Software, Transcriptomics

Documentation

Download

Dependencies

Depends: SingleCellExperiment, igraph

Imports: methods, SummarizedExperiment, BiocBaseUtils, S4Vectors

Suggests: knitr, BiocStyle, testthat, rmarkdown, covr, sessioninfo