scCB2
CB2 improves power of cell detection in droplet-based single-cell RNA sequencing data
Bioconductor version: Release (3.20)
scCB2 is an R package implementing CB2 for distinguishing real cells from empty droplets in droplet-based single cell RNA-seq experiments (especially for 10x Chromium). It is based on clustering similar barcodes and calculating Monte-Carlo p-value for each cluster to test against background distribution. This cluster-level test outperforms single-barcode-level tests in dealing with low count barcodes and homogeneous sequencing library, while keeping FDR well controlled.
Author: Zijian Ni [aut, cre], Shuyang Chen [ctb], Christina Kendziorski [ctb]
Maintainer: Zijian Ni <zni25 at wisc.edu>
citation("scCB2")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scCB2")
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("scCB2")| CB2 improves power of cell detection in droplet-based single-cell RNA sequencing data | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Clustering, DataImport, GeneExpression, Preprocessing, RNASeq, Sequencing, SingleCell, Software, Transcriptomics |
| Version | 1.16.0 |
| In Bioconductor since | BioC 3.12 (R-4.0) (4 years) |
| License | GPL-3 |
| Depends | R (>= 3.6.0) |
| Imports | SingleCellExperiment, SummarizedExperiment, Matrix, methods, utils, stats, edgeR, rhdf5, parallel, DropletUtils, doParallel, iterators, foreach, Seurat |
| System Requirements | C++11 |
| URL | https://github.com/zijianni/scCB2 |
| Bug Reports | https://github.com/zijianni/scCB2/issues |
See More
| Suggests | testthat (>= 2.1.0), KernSmooth, beachmat, knitr, BiocStyle, rmarkdown |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
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| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | scCB2_1.16.0.tar.gz |
| Windows Binary (x86_64) | scCB2_1.16.0.zip |
| macOS Binary (x86_64) | scCB2_1.16.0.tgz |
| macOS Binary (arm64) | scCB2_1.16.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/scCB2 |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scCB2 |
| Bioc Package Browser | https://code.bioconductor.org/browse/scCB2/ |
| Package Short Url | https://bioconductor.org/packages/scCB2/ |
| Package Downloads Report | Download Stats |