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aggregateBioVar

Differential Gene Expression Analysis for Multi-subject scRNA-seq

Bioconductor version: 3.23 · Package version: 1.22.0

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.

Installation

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

BiocManager::install("aggregateBioVar")

Details

MaintainerJason Ratcliff <jason-ratcliff@uiowa.edu>
AuthorJason Ratcliff [aut, cre] (ORCID: <https://orcid.org/0000-0001-7079-334X>), Andrew Thurman [aut], Michael Chimenti [ctb], Alejandro Pezzulo [ctb]
LicenseGPL-3
URLhttps://github.com/jasonratcliff/aggregateBioVar
Bug Reportshttps://github.com/jasonratcliff/aggregateBioVar/issues
Downloads rank303
Source branchRELEASE_3_23
biocViewsDifferentialExpression, GeneExpression, RNASeq, SingleCell, Software, Transcription, Transcriptomics

Documentation

Download

Dependencies

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