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scFastDE

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

Bioconductor version: 3.24 · Package version: 0.99.3

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.

Installation

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

BiocManager::install("scFastDE")

Details

MaintainerSubhadip Jana <subhadipjana1409@gmail.com>
AuthorSubhadip Jana [aut, cre] (ORCID: <https://orcid.org/0009-0003-7860-2853>)
LicenseMIT + file LICENSE
URLhttps://github.com/SubhadipJana1409/scFastDE
Bug Reportshttps://github.com/SubhadipJana1409/scFastDE/issues
Downloads rank45
Source branchdevel
biocViewsATACSeq, CellBasedAssays, DifferentialExpression, GeneExpression, Sequencing, SingleCell, Software, StatisticalMethod, Transcriptomics, WorkflowStep

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagescFastDE_0.99.3.tar.gz
Windows binary (x86_64)scFastDE_0.99.3.zip
macOS binary (arm64)scFastDE_0.99.3.tgz
macOS binary (x86_64)scFastDE_0.99.3.tgz
Dependencies

Depends: R (>= 4.5.0)

Imports: SingleCellExperiment, SummarizedExperiment, S4Vectors, BiocParallel, Matrix, limma, methods, stats, ggplot2, rlang, utils

Suggests: BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0), scuttle, withr