flowFP

DOI: 10.18129/B9.bioc.flowFP    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see flowFP.

Fingerprinting for Flow Cytometry

Bioconductor version: 3.13

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 mail.med.upenn.edu>, Wade Rogers <rogersw at mail.med.upenn.edu>

Maintainer: Herb Holyst <holyst at mail.med.upenn.edu>

Citation (from within R, enter citation("flowFP")):

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("flowFP")

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

Documentation

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

browseVignettes("flowFP")

 

PDF R Script Fingerprinting for Flow Cytometry
PDF   Reference Manual
Text   README
Text   NEWS

Details

biocViews CellBasedAssays, Clustering, FlowCytometry, Software, Visualization
Version 1.50.0
In Bioconductor since BioC 2.5 (R-2.10) (12 years)
License Artistic-2.0
Depends R (>= 2.10), flowCore, flowViz
Imports Biobase, BiocGenerics(>= 0.1.6), graphics, grDevices, methods, stats, stats4
LinkingTo
Suggests RUnit
SystemRequirements
Enhances
URL
Depends On Me flowBin
Imports Me GateFinder
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package flowFP_1.50.0.tar.gz
Windows Binary flowFP_1.50.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra) flowFP_1.50.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/flowFP
Source Repository (Developer Access) git clone [email protected]:packages/flowFP
Package Short Url https://bioconductor.org/packages/flowFP/
Package Downloads Report Download Stats

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