DOI: 10.18129/B9.bioc.aggregateBioVar    

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

Differential Gene Expression Analysis for Multi-subject scRNA-seq

Bioconductor version: Development (3.15)

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 <jason-ratcliff at>, Andrew Thurman <andrew.thurman2 at>, Michael Chimenti <michael-chimenti at>, Alejandro Pezzulo <alejandro-pezzulo at>

Maintainer: Jason Ratcliff <jason-ratcliff at>

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


To install this package, start R (version "4.2") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


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biocViews DifferentialExpression, GeneExpression, RNASeq, SingleCell, Software, Transcription, Transcriptomics
Version 1.5.0
In Bioconductor since BioC 3.12 (R-4.0) (1 year)
License GPL-3
Depends R (>= 4.0)
Imports stats, methods, S4Vectors, SummarizedExperiment, SingleCellExperiment, Matrix, tibble, rlang
Suggests BiocStyle, magick, knitr, rmarkdown, testthat, BiocGenerics, DESeq2, magrittr, dplyr, ggplot2, cowplot, ggtext, RColorBrewer, pheatmap, viridis
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