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scCB2

CB2 improves power of cell detection in droplet-based single-cell RNA sequencing data

Bioconductor version: 3.23 · Package version: 1.22.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("scCB2")

Details

MaintainerZijian Ni <zni25@wisc.edu>
AuthorZijian Ni [aut, cre], Shuyang Chen [ctb], Christina Kendziorski [ctb]
LicenseGPL-3
URLhttps://github.com/zijianni/scCB2
Bug Reportshttps://github.com/zijianni/scCB2/issues
System RequirementsC++11
Downloads rank277
Source branchRELEASE_3_23
biocViewsClustering, DataImport, GeneExpression, Preprocessing, RNASeq, Sequencing, SingleCell, Software, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 3.6.0)

Imports: SingleCellExperiment, SummarizedExperiment, Matrix, methods, utils, stats, edgeR, rhdf5, parallel, DropletUtils, doParallel, iterators, foreach, Seurat

Suggests: testthat (>= 2.1.0), KernSmooth, beachmat, knitr, BiocStyle, rmarkdown