This is the development version of flowMeans; for the stable release version, see flowMeans.
Non-parametric Flow Cytometry Data GatingBioconductor version: Development (3.22)
Identifies cell populations in Flow Cytometry data using non-parametric clustering and segmented-regression-based change point detection. Note: R 2.11.0 or newer is required.
Author: Nima Aghaeepour
Maintainer: Nima Aghaeepour <naghaeep at gmail.com>
Citation (from within R, entercitation("flowMeans")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("flowMeans")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flowMeans")
flowMeans: Non-parametric Flow Cytometry Data Gating PDF R Script Reference Manual PDF Details biocViews CellBiology, Clustering, FlowCytometry, ImmunoOncology, Software Version 1.69.0 In Bioconductor since BioC 2.6 (R-2.11) (15 years) License Artistic-2.0 Depends R (>= 2.10.0) Imports Biobase, graphics, grDevices, methods, rrcov, stats, feature, flowCore System Requirements URL See More Suggests Linking To Enhances Depends On Me Imports Me optimalFlow Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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