BEARscc

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This is the development version of BEARscc; for the stable release version, see BEARscc.

BEARscc (Bayesian ERCC Assesstment of Robustness of Single Cell Clusters)


Bioconductor version: Development (3.21)

BEARscc is a noise estimation and injection tool that is designed to assess putative single-cell RNA-seq clusters in the context of experimental noise estimated by ERCC spike-in controls.

Author: David T. Severson <david_severson at hms.harvard.edu>

Maintainer: Benjamin Schuster-Boeckler <benjamin.schuster-boeckler at ludwig.ox.ac.uk>

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

Installation

To install this package, start R (version "4.5") and enter:


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

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

BiocManager::install("BEARscc")

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

Documentation

Reference Manual PDF

Details

biocViews Clustering, ImmunoOncology, SingleCell, Software, Transcriptomics
Version 1.27.1
In Bioconductor since BioC 3.7 (R-3.5) (6.5 years)
License GPL-3
Depends
Imports ggplot2, SingleCellExperiment, data.table, stats, utils, graphics, compiler
System Requirements
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Suggests testthat, cowplot, knitr, rmarkdown, BiocStyle, NMF
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Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/BEARscc
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BEARscc
Package Short Url https://bioconductor.org/packages/BEARscc/
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