dPCP: Automated Analysis of Multiplex Digital PCR Data

The automated clustering and quantification of the digital PCR data is based on the combination of 'DBSCAN' (Hahsler et al. (2019) <doi:10.18637/jss.v091.i01>) and 'c-means' (Bezdek et l. (1981) <doi:10.1007/978-1-4757-0450-1>) algorithms. The analysis is independent of multiplexing geometry, dPCR system, and input amount. The details about input data and parameters are available in the vignette.

Version: 1.0.3
Depends: R (≥ 4.0.0)
Imports: dbscan, e1071, exactci, ggplot2, ggpubr, graphics, raster, rlist, scales, shiny, shinyjs, stats, stringr, utils
Suggests: knitr, rmarkdown, testthat
Published: 2020-09-25
Author: Alfonso De Falco ORCID iD [aut, cre], Michel Mittelbronn [ctb], Christophe Olinger [ctb], Daniel Stieber [ctb], Laboratoire national de santé [cph]
Maintainer: Alfonso De Falco <alfonso.defalco at lns.etat.lu>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: dPCP citation info
CRAN checks: dPCP results


Reference manual: dPCP.pdf
Vignettes: Digital PCR Cluster Predictor: a Universal Tool for the Automated Analysis of Multiplex Digital PCR Data
Package source: dPCP_1.0.3.tar.gz
Windows binaries: r-devel: dPCP_1.0.3.zip, r-release: dPCP_1.0.3.zip, r-oldrel: not available
macOS binaries: r-release: dPCP_1.0.3.tgz, r-oldrel: not available


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