Package: ddPCRclust
Title: Clustering algorithm for ddPCR data
Version: 1.21.0
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
git_url: https://git.bioconductor.org/packages/ddPCRclust
git_branch: devel
git_last_commit: 2415793
git_last_commit_date: 2023-04-25
Date/Publication: 2023-05-05
NeedsCompilation: no
Packaged: 2023-05-05 22:14:18 UTC; biocbuild
Author: Benedikt G. Brink [aut, cre],
  Justin Meskas [ctb],
  Ryan R. Brinkman [ctb]
Maintainer: Benedikt G. Brink <bbrink@cebitec.uni-bielefeld.de>
Built: R 4.3.0; ; 2023-05-06 13:04:19 UTC; windows
