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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")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

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


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

## The following initializes the development version of Bioconductor
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
NEWS Text
LICENSE Text

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) scFastDE_0.99.3.zip
macOS Binary (big-sur-x86_64) scFastDE_0.99.3.tgz
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/
Package Downloads Report Download Stats