This is the development version of ddPCRclust; for the stable release version, see ddPCRclust.
Clustering algorithm for ddPCR dataBioconductor version: Development (3.22)
The ddPCRclust algorithm can automatically quantify the CPDs of non-orthogonal ddPCR reactions with up to four targets. In order to determine the correct droplet count for each target, it is crucial to both identify all clusters and label them correctly based on their position. For more information on what data can be analyzed and how a template needs to be formatted, please check the vignette.
Author: Benedikt G. Brink [aut, cre], Justin Meskas [ctb], Ryan R. Brinkman [ctb]
Maintainer: Benedikt G. Brink <bbrink at cebitec.uni-bielefeld.de>
Citation (from within R, entercitation("ddPCRclust")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("ddPCRclust")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ddPCRclust")Follow Installation instructions to use this package in your R session.
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