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biocLite("flowMeans")
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Bioconductor version: 2.14
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 bccrc.ca>
Citation (from within R,
enter citation("flowMeans")):
To install this package, start R and enter:
source("http://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 | Cancer, CellBiology, Clustering, FlowCytometry, HIV, Software, StemCells |
| Version | 1.16.0 |
| In Bioconductor since | BioC 2.6 (R-2.11) |
| License | Artistic-2.0 |
| Depends | R (>= 2.10.0) |
| Imports | Biobase, graphics, grDevices, methods, rrcov, stats, feature, flowCore |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | flowPhyto, flowType |
| Suggests Me |
Follow Installation instructions to use this package in your R session.
| Package Source | flowMeans_1.16.0.tar.gz |
| Windows Binary | flowMeans_1.16.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | flowMeans_1.16.0.tgz |
| Mac OS X 10.9 (Mavericks) | flowMeans_1.16.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
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