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speckle

Statistical methods for analysing single cell RNA-seq data

Bioconductor version: 3.24 · Package version: 1.13.0

The speckle package contains functions for the analysis of single cell RNA-seq data. The speckle package currently contains functions to analyse differences in cell type proportions. There are also functions to estimate the parameters of the Beta distribution based on a given counts matrix, and a function to normalise a counts matrix to the median library size. There are plotting functions to visualise cell type proportions and the mean-variance relationship in cell type proportions and counts. As our research into specialised analyses of single cell data continues we anticipate that the package will be updated with new functions.

Installation

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

BiocManager::install("speckle")

Details

MaintainerBelinda Phipson <phipson.b@wehi.edu.au>
AuthorBelinda Phipson [aut, cre]
LicenseGPL-3
Downloads rank878
Source branchdevel
biocViewsGeneExpression, RNASeq, Regression, SingleCell, Software

Documentation

Download

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

Source packagespeckle_1.13.0.tar.gz
Windows binary (x86_64)speckle_1.13.0.zip
macOS binary (arm64)speckle_1.13.0.tgz
macOS binary (x86_64)speckle_1.13.0.tgz
Dependencies

Depends: R (>= 4.2.0)

Imports: limma, edgeR, SingleCellExperiment, Seurat, ggplot2, methods, stats, grDevices, graphics

Suggests: BiocStyle, knitr, rmarkdown, statmod, CellBench, scater, patchwork, jsonlite, vdiffr, testthat (>= 3.0.0)