ddPCRclust: Clustering algorithm for ddPCR data

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.

Package details

AuthorBenedikt G. Brink [aut, cre], Justin Meskas [ctb], Ryan R. Brinkman [ctb]
Bioconductor views Clustering ddPCR
MaintainerBenedikt G. Brink <[email protected]>
LicenseArtistic-2.0
Version1.2.0
URL https://github.com/bgbrink/ddPCRclust
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("ddPCRclust")

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ddPCRclust documentation built on Nov. 1, 2018, 3:11 a.m.