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flowPloidy

Analyze flow cytometer data to determine sample ploidy


Bioconductor version: Release (3.18)

Determine sample ploidy via flow cytometry histogram analysis. Reads Flow Cytometry Standard (FCS) files via the flowCore bioconductor package, and provides functions for determining the DNA ploidy of samples based on internal standards.

Author: Tyler Smith <tyler at plantarum.ca>

Maintainer: Tyler Smith <tyler at plantarum.ca>

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

Installation

To install this package, start R (version "4.3") and enter:


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

BiocManager::install("flowPloidy")

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("flowPloidy")
flowPloidy: FCM Histograms PDF R Script
flowPloidy: Getting Started PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews FlowCytometry, GUI, Regression, Software, Visualization
Version 1.28.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)
License GPL-3
Depends
Imports flowCore, car, caTools, knitr, rmarkdown, minpack.lm, shiny, methods, graphics, stats, utils
System Requirements
URL https://github.com/plantarum/flowPloidy
Bug Reports https://github.com/plantarum/flowPloidy/issues
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Suggests flowPloidyData, testthat
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Package Archives

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

Source Package flowPloidy_1.28.0.tar.gz
Windows Binary flowPloidy_1.28.0.zip (64-bit only)
macOS Binary (x86_64) flowPloidy_1.28.0.tgz
macOS Binary (arm64) flowPloidy_1.28.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/flowPloidy
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/flowPloidy
Bioc Package Browser https://code.bioconductor.org/browse/flowPloidy/
Package Short Url https://bioconductor.org/packages/flowPloidy/
Package Downloads Report Download Stats