ddPCRclust

DOI:10.18129/B9.bioc.ddPCRclust

Clustering algorithm for ddPCR data

Bioconductor版本:版本(3.15)

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

Citation (from within R, entercitation("ddPCRclust")):

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("ddPCRclust")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

查看documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ddPCRclust")

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PDF Reference Manual
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Details

biocViews 2021年欧洲杯 ,2021年欧洲杯 ,2021年欧洲杯
Version 1.16.0
In Bioconductor since BioC 3.7 (R-3.5) (4 years)
License Artistic-2.0
Depends R (>= 3.5)
Imports plotrix,clue, parallel,ggplot2,openxlsx,R.utils,flowCore,flowDensity(>= 1.13.3),SamSPECTRAL,flowPeaks
LinkingTo
Suggests BiocStyle
SystemRequirements
Enhances
URL https://github.com/bgbrink/ddPCRclust
BugReports https://github.com/bgbrink/ddPCRclust/issues
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Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package ddPCRclust_1.16.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra) ddPCRclust_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ddPCRclust
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ddPCRclust
Package Short Url //www.andersvercelli.com/packages/ddPCRclust/
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