To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("flowMeans")
In most cases, you don't need to download the package archive at all.
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Bioconductor version: Release (3.4)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("flowMeans")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flowMeans")
R Script | flowMeans: Non-parametric Flow Cytometry Data Gating | |
Reference Manual |
biocViews | CellBiology, Clustering, FlowCytometry, Software |
Version | 1.34.0 |
In Bioconductor since | BioC 2.6 (R-2.11) (7 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.
Package Source | flowMeans_1.34.0.tar.gz |
Windows Binary | flowMeans_1.34.0.zip |
Mac OS X 10.9 (Mavericks) | flowMeans_1.34.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/flowMeans/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/flowMeans/ |
Package Downloads Report | Download Stats |
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