Package: ddPCRclust
Title: Clustering algorithm for ddPCR data
Version: 1.30.0
Authors@R: c(person("Benedikt G.", "Brink", email = "bbrink@cebitec.uni-bielefeld.de", role = c("aut", "cre")), 
          person("Justin", "Meskas", email = "jmeskas@bccrc.ca", role = "ctb"), 
          person("Ryan R.", "Brinkman", email = "rbrinkman@bccrc.ca", role = "ctb"))
Description: The ddPCRclust algorithm can automatically quantify the
        CPDs of non-orthogonal ddPCR reactions with up to four targets.
        In order to determine the correct droplet count for each
        target, it is crucial to both identify all clusters and label
        them correctly based on their position. For more information on
        what data can be analyzed and how a template needs to be
        formatted, please check the vignette.
Depends: R (>= 3.5)
Imports: plotrix, clue, parallel, ggplot2, openxlsx, R.utils, flowCore,
        flowDensity (>= 1.13.3), SamSPECTRAL, flowPeaks
Suggests: BiocStyle
Collate: 'cluster_functions.R' 'functions.R' 'ddPCRclust.R'
License: Artistic-2.0
URL: https://github.com/bgbrink/ddPCRclust
BugReports: https://github.com/bgbrink/ddPCRclust/issues
biocViews: ddPCR, Clustering
RoxygenNote: 6.0.1
Config/pak/sysreqs: cmake make libgsl0-dev libicu-dev libjpeg-dev
        libpng-dev libssl-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 14:43:29 UTC
RemoteUrl: https://github.com/bioc/ddPCRclust
RemoteRef: RELEASE_3_22
RemoteSha: 79d2c7530f6da091d9442e21fbaaf4a20797225f
NeedsCompilation: no
Packaged: 2026-01-29 08:22:31 UTC; root
Author: Benedikt G. Brink [aut, cre],
  Justin Meskas [ctb],
  Ryan R. Brinkman [ctb]
Maintainer: Benedikt G. Brink <bbrink@cebitec.uni-bielefeld.de>
Built: R 4.5.2; ; 2026-01-29 08:24:37 UTC; windows
