flowMeans
Non-parametric Flow Cytometry Data Gating
Bioconductor version: Release (3.20)
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, enter
citation("flowMeans")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("flowMeans")
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("flowMeans")
flowMeans: Non-parametric Flow Cytometry Data Gating | R Script | |
Reference Manual |
Details
biocViews | CellBiology, Clustering, FlowCytometry, ImmunoOncology, Software |
Version | 1.66.0 |
In Bioconductor since | BioC 2.6 (R-2.11) (14.5 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.
Source Package | flowMeans_1.66.0.tar.gz |
Windows Binary (x86_64) | flowMeans_1.66.0.zip |
macOS Binary (x86_64) | flowMeans_1.66.0.tgz |
macOS Binary (arm64) | flowMeans_1.66.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/flowMeans |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/flowMeans |
Bioc Package Browser | https://code.bioconductor.org/browse/flowMeans/ |
Package Short Url | https://bioconductor.org/packages/flowMeans/ |
Package Downloads Report | Download Stats |