flowMeans
Non-parametric Flow Cytometry Data Gating
Bioconductor version: 3.24 · Package version: 1.73.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("flowMeans")Details
| Maintainer | Nima Aghaeepour <naghaeep@gmail.com> |
| Author | Nima Aghaeepour |
| License | Artistic-2.0 |
| Downloads rank | 744 |
| Source branch | devel |
| biocViews | CellBiology, Clustering, FlowCytometry, ImmunoOncology, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | flowMeans_1.73.0.tar.gz |
| Windows binary (x86_64) | flowMeans_1.73.0.zip |
| macOS binary (arm64) | flowMeans_1.73.0.tgz |
| macOS binary (x86_64) | flowMeans_1.73.0.tgz |
Dependencies
Depends: R (>= 2.10.0)
Imports: Biobase, graphics, grDevices, methods, rrcov, stats, feature, flowCore
Reverse dependencies
Imports Me (2): CONFESS, optimalFlow