BEARscc

This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see BEARscc.

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


Bioconductor version: 3.18

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 "4.3") and enter:


if (!require("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")
Vignette Title PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews Clustering, ImmunoOncology, SingleCell, Software, Transcriptomics
Version 1.22.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License GPL-3
Depends R (>= 3.5.0)
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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Package Archives

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

Source Package BEARscc_1.22.0.tar.gz
Windows Binary BEARscc_1.22.0.zip (64-bit only)
macOS Binary (x86_64) BEARscc_1.22.0.tgz
macOS Binary (arm64) BEARscc_1.22.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BEARscc
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BEARscc
Bioc Package Browser https://code.bioconductor.org/browse/BEARscc/
Package Short Url https://bioconductor.org/packages/BEARscc/
Package Downloads Report Download Stats