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dPCP: Automated Analysis of Multiplex Digital PCR Data
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 |
| 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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=dPCP
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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