This is the development version of flowFP; for the stable release version, see flowFP.
Fingerprinting for Flow CytometryBioconductor version: Development (3.22)
Fingerprint generation of flow cytometry data, used to facilitate the application of machine learning and datamining tools for flow cytometry.
Author: Herb Holyst <holyst at pennmedicine.upenn.edu>, Wade Rogers <wade.rogers at spcytomics.com>
Maintainer: Herb Holyst <holyst at pennmedicine.upenn.edu>, Wade Rogers <wade.rogers at spcytomics.com>
Citation (from within R, entercitation("flowFP")
): 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("flowFP")
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("flowFP")
Details biocViews CellBasedAssays, Clustering, FlowCytometry, Software, Visualization Version 1.67.0 In Bioconductor since BioC 2.5 (R-2.10) (15.5 years) License Artistic-2.0 Depends R (>= 2.10), flowCore, flowViz Imports Biobase, BiocGenerics(>= 0.1.6), graphics, grDevices, methods, stats, stats4 System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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