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
| Maintainer | Zijian Ni <zni25@wisc.edu> |
| Author | Zijian Ni [aut, cre], Shuyang Chen [ctb], Christina Kendziorski [ctb] |
| License | GPL-3 |
| URL | https://github.com/zijianni/scCB2 |
| Bug Reports | https://github.com/zijianni/scCB2/issues |
| System Requirements | C++11 |
| Downloads rank | 277 |
| Source branch | RELEASE_3_23 |
| biocViews | Clustering, DataImport, GeneExpression, Preprocessing, RNASeq, Sequencing, SingleCell, Software, Transcriptomics |
Documentation
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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