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

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

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

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.

Getting started

Package overview README.md Vignette Title BEARscc: Using spike-ins to assess single cell cluster robustness

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Vignettes Man pages API and functions Files

Package details
AuthorDavid T. Severson <david_severson@hms.harvard.edu>
Bioconductor views Clustering ImmunoOncology SingleCell Transcriptomics
MaintainerBenjamin Schuster-Boeckler <benjamin.schuster-boeckler@ludwig.ox.ac.uk>
LicenseGPL-3
Version1.10.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R: 
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("BEARscc")

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BEARscc documentation built on Nov. 8, 2020, 7:56 p.m.

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