[aut, cre],
Michel Mittelbronn [ctb],
Christophe Olinger [ctb],
Daniel Stieber [ctb],
Laboratoire national de santé [cph]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
[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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