This is the development version of aggregateBioVar; for the stable release version, see aggregateBioVar.
Differential Gene Expression Analysis for Multi-subject scRNA-seqBioconductor version: Development (3.22)
For single cell RNA-seq data collected from more than one subject (e.g. biological sample or technical replicates), this package contains tools to summarize single cell gene expression profiles at the level of subject. A SingleCellExperiment object is taken as input and converted to a list of SummarizedExperiment objects, where each list element corresponds to an assigned cell type. The SummarizedExperiment objects contain aggregate gene-by-subject count matrices and inter-subject column metadata for individual subjects that can be processed using downstream bulk RNA-seq tools.
Author: Jason Ratcliff [aut, cre] ORCID: 0000-0001-7079-334X , Andrew Thurman [aut], Michael Chimenti [ctb], Alejandro Pezzulo [ctb]
Maintainer: Jason Ratcliff <jason-ratcliff at uiowa.edu>
Citation (from within R, entercitation("aggregateBioVar")): 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("aggregateBioVar")
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("aggregateBioVar")Follow Installation instructions to use this package in your R session.
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