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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.
flowMeans
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Non-parametric Flow Cytometry Data Gating
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")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("flowMeans")
Documentation
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 |
Details
| 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 |
Package Archives
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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