speckle
Statistical methods for analysing single cell RNA-seq data
Bioconductor version: 3.23 · Package version: 1.12.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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
| Maintainer | Belinda Phipson <phipson.b@wehi.edu.au> |
| Author | Belinda Phipson [aut, cre] |
| License | GPL-3 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | GeneExpression, RNASeq, Regression, SingleCell, Software |
| Package Short Url | https://bioconductor.org/packages/speckle/ |
Citation
From within R, enter citation("speckle"):
Belinda Phipson. speckle: Statistical methods for analysing single cell RNA-seq data. doi:10.18129/B9.bioc.speckle, R package version 1.12.0, https://bioconductor.org/packages/speckle.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | speckle_1.12.0.tar.gz |
| Windows binary (x86_64) | speckle_1.12.0.zip |
| macOS binary (arm64) | speckle_1.12.0.tgz |
| macOS binary (x86_64) | speckle_1.12.0.tgz |