dPCP: Automated Analysis of Multiplex Digital PCR Data (original) (raw)
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 |
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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 |
BugReports: | https://github.com/alfodefalco/dPCP/issues |
License: | MIT + file |
URL: | https://github.com/alfodefalco/dPCP |
NeedsCompilation: | no |
Citation: | dPCP citation info |
CRAN checks: | dPCP results |
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