Bioconductor version: Development (2.8)
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 | flowPhyto |
Suggests Me | |
Version | 1.3.0 |
Package Source | flowMeans_1.3.0.tar.gz |
Windows Binary | flowMeans_1.3.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | flowMeans_1.3.0.tgz |
Package Downloads Report | Download Stats |
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