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scFastDE

This is the development version of scFastDE; to use it, please install the devel version of Bioconductor.

Fast Donor-Weighted Pseudo-Bulk Differential Expression for scRNA-seq


Bioconductor version: Development (3.24)

scFastDE provides fast, donor-weighted pseudo-bulk differential expression analysis for multi-donor single-cell RNA-seq experiments. Unlike existing tools that loop over genes serially, scFastDE uses vectorised sparse matrix operations across all genes simultaneously, achieving 10-50x speed gains on large datasets. Donors are weighted by the square root of their cell count, giving principled influence to well-represented donors without discarding donors with few cells. Paired experimental designs (same donors in multiple conditions) are automatically detected; pseudo-bulk is then aggregated per donor-condition pair and a blocking model accounts for inter-donor variation. A sparse pseudo-bulk guard automatically handles cell types where some donors fall below a minimum cell threshold. All functions operate natively on SingleCellExperiment objects.

Author: Subhadip Jana [aut, cre] ORCID iD ORCID: 0009-0003-7860-2853

Maintainer: Subhadip Jana <subhadipjana1409 at gmail.com>

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

Installation

To install this package, start R (version "4.6") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("scFastDE")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("scFastDE")
Fast donor-weighted DE for multi-donor scRNA-seq with scFastDE HTML R Script
Reference Manual PDF

Details

biocViews ATACSeq, CellBasedAssays, DifferentialExpression, GeneExpression, Sequencing, SingleCell, Software, StatisticalMethod, Transcriptomics, WorkflowStep
Version 0.99.3
In Bioconductor since BioC 3.24 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.6.0)
Imports SingleCellExperiment, SummarizedExperiment, S4Vectors, BiocParallel, Matrix, limma, methods, stats, ggplot2, rlang, utils
System Requirements
URL https://github.com/SubhadipJana1409/scFastDE
Bug Reports https://github.com/SubhadipJana1409/scFastDE/issues
See More
Suggests BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0), scuttle, withr
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package scFastDE_0.99.3.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64) scFastDE_0.99.3.tgz
Source Repository git clone https://git.bioconductor.org/packages/scFastDE
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/scFastDE
Bioc Package Browser https://code.bioconductor.org/browse/scFastDE/
Package Short Url https://bioconductor.org/packages/scFastDE/
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