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BEARscc

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

Bioconductor version: Release (3.17)

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 1.20.0
In Bioconductor since BioC 3.7 (R-3.5) (5.5 years)
License GPL-3
Depends R (>= 3.5.0)
Imports ggplot2, SingleCellExperiment, data.table, stats, utils, graphics, compiler
Linking To
Suggests testthat, cowplot, knitr, rmarkdown, BiocStyle, NMF
System Requirements
Enhances
URL
See More
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_1.20.0.tar.gz
Windows Binary BEARscc_1.20.0.zip
macOS Binary (x86_64) BEARscc_1.20.0.tgz
macOS Binary (arm64) BEARscc_1.20.0.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