Bioconductor version: Release (3.6)
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>
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R Script | flowMeans: Non-parametric Flow Cytometry Data Gating | |
Reference Manual |
biocViews | CellBiology, Clustering, FlowCytometry, Software |
Version | 1.38.0 |
In Bioconductor since | BioC 2.6 (R-2.11) (8 years) |
License | Artistic-2.0 |
Depends | R (>= 2.10.0) |
Imports | Biobase, graphics, grDevices, methods, rrcov, stats, feature, flowCore |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | CONFESS, flowType |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | flowMeans_1.38.0.tar.gz |
Windows Binary | flowMeans_1.38.0.zip |
Mac OS X 10.11 (El Capitan) | flowMeans_1.38.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/flowMeans |
Package Short Url | http://bioconductor.org/packages/flowMeans/ |
Package Downloads Report | Download Stats |
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