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 + fileLICENSE |
| URL: | https://github.com/alfodefalco/dPCP |
| NeedsCompilation: | no |
| Citation: | dPCP citation info |
| CRAN checks: | dPCP results |