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
| Maintainer | Jason Ratcliff <jason-ratcliff@uiowa.edu> |
| Author | Jason Ratcliff [aut, cre] (ORCID: <https://orcid.org/0000-0001-7079-334X>), Andrew Thurman [aut], Michael Chimenti [ctb], Alejandro Pezzulo [ctb] |
| License | GPL-3 |
| URL | https://github.com/jasonratcliff/aggregateBioVar |
| Bug Reports | https://github.com/jasonratcliff/aggregateBioVar/issues |
| Downloads rank | 303 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, GeneExpression, RNASeq, SingleCell, Software, Transcription, Transcriptomics |
Documentation
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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