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
Browse package contents
Package details |
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| Bioconductor views | Clustering DataImport GeneExpression Preprocessing RNASeq Sequencing SingleCell Transcriptomics |
| Maintainer | |
| License | GPL-3 |
| Version | 1.9.1 |
| URL | https://github.com/zijianni/scCB2 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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