CRAN/E | dPCP

dPCP

Automated Analysis of Multiplex Digital PCR Data

Installation

About

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.

Citation dPCP citation info
github.com/alfodefalco/dPCP
Bug report File report

Key Metrics

Version 2.0.1
R ≥ 4.0.0
Published 2023-08-12 255 days ago
Needs compilation? no
License MIT
License File
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Downloads

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Maintainer

Maintainer

Alfonso De Falco

alfonsodefalco90@gmail.com

Authors

Alfonso De Falco

aut / cre

Michel Mittelbronn

ctb

Christophe Olinger

ctb

Daniel Stieber

ctb

Laboratoire national de santé

cph

Material

Reference manual
Package source

Vignettes

Digital PCR Cluster Predictor: a Universal Tool for the Automated Analysis of Multiplex Digital PCR Data

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

dPCP archive

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