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 al. (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: 2.0.1 Depends: R (≥ 4.0.0) Imports: cluster, dbscan, e1071, exactci, ggplot2, ggpubr, graphics, raster, rlist, scales, shiny, shinyjs, stats, stringr, utils Suggests: knitr, rmarkdown, testthat Published: 2023-08-12 DOI: 10.32614/CRAN.package.dPCP Author: Alfonso De Falco [aut, cre], Michel Mittelbronn [ctb], Christophe Olinger [ctb], Daniel Stieber [ctb], Laboratoire national de santé [cph] Maintainer: Alfonso De Falco <alfonsodefalco90 at gmail.com> BugReports: https://github.com/alfodefalco/dPCP/issues License: MIT + file LICENSE URL: https://github.com/alfodefalco/dPCP NeedsCompilation: no Citation: dPCP citation info CRAN checks: dPCP resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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