Bioconductor version: Release (2.7)
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
To install this package, start R and enter:
source("http:///biocLite.R")
biocLite("flowMeans")
| R Script | flowMeans: Non-parametric Flow Cytometry Data Gating |
| biocViews | Bioinformatics, FlowCytometry, CellBiology, Clustering, Cancer, FlowCytData, StemCells, HIV |
| Depends | R |
| Imports | Biobase, graphics, grDevices, methods, rrcov, stats, feature, flowCore |
| Suggests | |
| System Requirements | |
| License | Artistic-2.0 |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.2.0 |
| Package Source | flowMeans_1.2.0.tar.gz |
| Windows Binary | flowMeans_1.2.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | flowMeans_1.2.0.tgz |
| Package Downloads Report | Download Stats |
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