Package: scCB2
Version: 1.23.0
Date: 2023/4/18
Title: CB2 improves power of cell detection in droplet-based
        single-cell RNA sequencing data
Authors@R: c(
    person("Zijian", "Ni", role = c("aut", "cre"), email = "zni25@wisc.edu"), 
    person("Shuyang", "Chen", role="ctb"),
    person("Christina", "Kendziorski", role="ctb"))
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
biocViews: DataImport, RNASeq, SingleCell, Sequencing, GeneExpression,
        Transcriptomics, Preprocessing, Clustering
Description: 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.
License: GPL-3
NeedsCompilation: yes
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++11
RoxygenNote: 7.1.2
URL: https://github.com/zijianni/scCB2
BugReports: https://github.com/zijianni/scCB2/issues
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev
        libuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:53:07 UTC
RemoteUrl: https://github.com/bioc/scCB2
RemoteRef: HEAD
RemoteSha: 77e6f0162cbf32591c62c392e83f8dd155298493
Packaged: 2026-05-30 09:41:57 UTC; root
Author: Zijian Ni [aut, cre],
  Shuyang Chen [ctb],
  Christina Kendziorski [ctb]
Maintainer: Zijian Ni <zni25@wisc.edu>