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  "Version": "1.23.0",
  "Date": "2023/4/18",
  "Title": "CB2 improves power of cell detection in droplet-based\nsingle-cell RNA sequencing data",
  "Authors@R": "c(\nperson(\"Zijian\", \"Ni\", role = c(\"aut\", \"cre\"), email = \"zni25@wisc.edu\"),\nperson(\"Shuyang\", \"Chen\", role=\"ctb\"),\nperson(\"Christina\", \"Kendziorski\", role=\"ctb\"))",
  "biocViews": "DataImport, RNASeq, SingleCell, Sequencing, GeneExpression,\nTranscriptomics, Preprocessing, Clustering",
  "Description": "scCB2 is an R package implementing CB2 for distinguishing\nreal cells from empty droplets in droplet-based single cell\nRNA-seq experiments (especially for 10x Chromium). It is based\non clustering similar barcodes and calculating Monte-Carlo\np-value for each cluster to test against background\ndistribution. This cluster-level test outperforms\nsingle-barcode-level tests in dealing with low count barcodes\nand homogeneous sequencing library, while keeping FDR well\ncontrolled.",
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  "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libpng-dev\nlibuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev",
  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 12:53:07 UTC",
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  "Author": "Zijian Ni [aut, cre],\nShuyang Chen [ctb],\nChristina Kendziorski [ctb]",
  "Maintainer": "Zijian Ni <zni25@wisc.edu>",
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