diffcyt: Differential discovery in high-dimensional cytometry via high-resolution clustering
Version 1.0.10

Statistical methods for differential discovery analyses in high-dimensional cytometry data (including flow cytometry, mass cytometry or CyTOF, and oligonucleotide-tagged cytometry), based on (i) high-resolution clustering and (ii) empirical Bayes moderated tests adapted from transcriptomics.

Package details

AuthorLukas M. Weber [aut, cre]
Bioconductor views CellBasedAssays CellBiology Clustering FeatureExtraction FlowCytometry Proteomics SingleCell Software
Date of publication2018-08-15
MaintainerLukas M. Weber <[email protected]>
LicenseMIT + file LICENSE
Version1.0.10
URL https://github.com/lmweber/diffcyt
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("diffcyt")

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diffcyt documentation built on Aug. 16, 2018, 6 p.m.