flowDensity
Sequential Flow Cytometry Data Gating
Bioconductor version: Release (3.20)
This package provides tools for automated sequential gating analogous to the manual gating strategy based on the density of the data.
Author: Mehrnoush Malek,M. Jafar Taghiyar
Maintainer: Mehrnoush Malek <mehrmalek at gmail.com>
Citation (from within R, enter
citation("flowDensity")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("flowDensity")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual | |
README | Text |
NEWS | Text |
Details
biocViews | Bioinformatics, Cancer, CellBiology, Clustering, DataRepresentation, DensityGating, FlowCytData, FlowCytometry, Software, StemCell |
Version | 1.40.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (10 years) |
License | Artistic-2.0 |
Depends | |
Imports | flowCore, graphics, flowViz(>= 1.42), car, polyclip, gplots, methods, stats, grDevices |
System Requirements | xml2, GNU make, C++11 |
URL |
See More
Suggests | knitr, rmarkdown |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | cyanoFilter, ddPCRclust, flowCut |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | flowDensity_1.40.0.tar.gz |
Windows Binary (x86_64) | flowDensity_1.40.0.zip (64-bit only) |
macOS Binary (x86_64) | flowDensity_1.40.0.tgz |
macOS Binary (arm64) | flowDensity_1.39.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/flowDensity |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/flowDensity |
Bioc Package Browser | https://code.bioconductor.org/browse/flowDensity/ |
Package Short Url | https://bioconductor.org/packages/flowDensity/ |
Package Downloads Report | Download Stats |