This is the development version of ReducedExperiment; for the stable release version, see ReducedExperiment.
Containers and tools for dimensionally-reduced -omics representationsBioconductor version: Development (3.22)
Provides SummarizedExperiment-like containers for storing and manipulating dimensionally-reduced assay data. The ReducedExperiment classes allow users to simultaneously manipulate their original dataset and their decomposed data, in addition to other method-specific outputs like feature loadings. Implements utilities and specialised classes for the application of stabilised independent component analysis (sICA) and weighted gene correlation network analysis (WGCNA).
Author: Jack Gisby [aut, cre] ORCID: 0000-0003-0511-8123 , Michael Barnes [aut] ORCID: 0000-0001-9097-7381
Maintainer: Jack Gisby <jackgisby at gmail.com>
Citation (from within R, entercitation("ReducedExperiment")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("ReducedExperiment")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ReducedExperiment")
Details biocViews DataRepresentation, DimensionReduction, GeneExpression, Infrastructure, Network, Software Version 1.1.2 In Bioconductor since BioC 3.21 (R-4.5) (< 6 months) License GPL (>= 3) Depends R (>= 4.4.0), SummarizedExperiment, methods Imports WGCNA, ica, moments, clusterProfiler, msigdbr, RColorBrewer, car, lme4, lmerTest, pheatmap, biomaRt, stats, grDevices, BiocParallel, ggplot2, patchwork, BiocGenerics, S4Vectors System Requirements URL https://github.com/jackgisby/ReducedExperiment Bug Reports https://github.com/jackgisby/ReducedExperiment/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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