Package: ddPCRclust 1.25.0

Benedikt G. Brink

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.

Authors:Benedikt G. Brink [aut, cre], Justin Meskas [ctb], Ryan R. Brinkman [ctb]

ddPCRclust_1.25.0.tar.gz
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ddPCRclust.pdf |ddPCRclust.html✨
ddPCRclust/json (API)
NEWS

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Bug tracker:https://github.com/bgbrink/ddpcrclust/issues

On BioConductor:ddPCRclust-1.25.0(bioc 3.20)ddPCRclust-1.24.0(bioc 3.19)

bioconductor-package

11 exports 0.71 score 93 dependencies 1 mentions

Last updated 2 months agofrom:24e04b81ef

Exports:calculateCPDscreateEnsembleddPCRclustexportPlotsexportToCSVexportToExcelreadFilesreadTemplaterunDensityrunPeaksrunSam

Dependencies:abindbackportsBHBiobaseBiocGenericsbitopsbootbroomcarcarDatacaToolscliclueclustercolorspacecowplotcpp11cytolibdeldirDerivdoBydplyrfansifarverflowCoreflowDensityflowPeaksflowVizgenericsggplot2gluegplotsgtablegtoolshexbinIDPmiscinterpisobandjpegKernSmoothlabelinglatticelatticeExtralifecyclelme4magrittrMASSMatrixMatrixModelsmatrixStatsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivopenxlsxpbkrtestpillarpkgconfigplotrixpngpolyclippurrrquantregR.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppEigenRhdf5librlangRProtoBufLibS4VectorsSamSPECTRALscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrzip