zijianni/scCB2: CB2 improves power of cell detection in droplet-based single-cell RNA sequencing data

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.

Getting started

Package details

Bioconductor views Clustering DataImport GeneExpression Preprocessing RNASeq Sequencing SingleCell Transcriptomics
Maintainer
LicenseGPL-3
Version0.99.31
URL https://github.com/zijianni/scCB2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("zijianni/scCB2")
zijianni/scCB2 documentation built on Aug. 28, 2020, 8:51 p.m.