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]|
|Bioconductor views||Clustering DataImport GeneExpression Preprocessing RNASeq Sequencing SingleCell Transcriptomics|
|Maintainer||Zijian Ni <firstname.lastname@example.org>|
|Package repository||View on Bioconductor|
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