BEARscc
BEARscc (Bayesian ERCC Assesstment of Robustness of Single Cell Clusters)
Bioconductor version: Release (3.20)
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 "4.4") 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
| Reference Manual | |
| NEWS | Text |
Details
| biocViews | Clustering, ImmunoOncology, SingleCell, Software, Transcriptomics |
| Version | 1.25.0 |
| In Bioconductor since | BioC 3.7 (R-3.5) (6.5 years) |
| License | GPL-3 |
| Depends | R (>= 3.5.0) |
| Imports | ggplot2, SingleCellExperiment, data.table, stats, utils, graphics, compiler |
| System Requirements | |
| URL |
See More
| Suggests | testthat, cowplot, knitr, rmarkdown, BiocStyle, NMF |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | BEARscc_1.25.0.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 |