BEARscc

DOI: 10.18129/B9.bioc.BEARscc    

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 (3.9)

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 "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("BEARscc", version = "3.9")

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, SingleCell, Software, Transcriptomics
Version 1.3.0
License GPL-3
Depends
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_1.3.0.tar.gz
Windows Binary BEARscc_1.3.0.zip
Mac OS X 10.11 (El Capitan) BEARscc_1.3.0.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 http://bioconductor.org/packages/BEARscc/
Package Downloads Report Download Stats

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