BEARscc

DOI: 10.18129/B9.bioc.BEARscc    

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

Bioconductor version: Release (3.13)

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>

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("BEARscc")

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("BEARscc")

 

PDF	R Script	Vignette Title
PDF		Reference Manual
Text		NEWS

Details

biocViews	Clustering, ImmunoOncology, SingleCell, Software, Transcriptomics
Version	1.12.0
In Bioconductor since	BioC 3.7 (R-3.5) (3.5 years)
License	GPL-3
Depends	R (>= 3.5.0)
Imports	ggplot2, SingleCellExperiment, data.table, stats, utils, graphics, compiler
LinkingTo
Suggests	testthat, cowplot, knitr, rmarkdown, BiocStyle, NMF
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	BEARscc_1.12.0.tar.gz
Windows Binary	BEARscc_1.12.0.zip
macOS 10.13 (High Sierra)	BEARscc_1.12.0.tgz
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/
Package Downloads Report	Download Stats