bgbrink/dropClust: 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.

Getting started

Package details

Bioconductor views Clustering ddPCR
Maintainer
LicenseArtistic-2.0
Version1.0.1
URL https://github.com/bgbrink/ddPCRclust
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("bgbrink/dropClust")
bgbrink/dropClust documentation built on Nov. 7, 2019, 12:18 p.m.