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 results |