flowClust
Clustering for Flow Cytometry
Bioconductor version: 3.24 · Package version: 3.51.0
Robust model-based clustering using a t-mixture model with Box-Cox transformation. Note: users should have GSL installed. Windows users: 'consult the README file available in the inst directory of the source distribution for necessary configuration instructions'.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("flowClust")Details
| Maintainer | Greg Finak <greg@ozette.ai>, Mike Jiang <mike@ozette.ai> |
| Author | Raphael Gottardo, Kenneth Lo <c.lo@stat.ubc.ca>, Greg Finak <greg@ozette.ai> |
| License | MIT |
| System Requirements | GNU make |
| Downloads rank | 1848 |
| Source branch | devel |
| biocViews | Clustering, FlowCytometry, ImmunoOncology, Software, Visualization |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | flowClust_3.51.0.tar.gz |
| Windows binary (x86_64) | flowClust_3.51.0.zip |
| macOS binary (arm64) | flowClust_3.51.0.tgz |
| macOS binary (x86_64) | flowClust_3.51.0.tgz |
Dependencies
Depends: R (>= 2.5.0)
Imports: BiocGenerics, methods, Biobase, graph, flowCore, parallel
Suggests: testthat, flowWorkspace, flowWorkspaceData, knitr, rmarkdown, openCyto, flowStats (>= 4.7.1)
Reverse dependencies
Depends On Me (2): flowMerge, flowTrans
Imports Me (4): CONFESS, cyanoFilter, flowTrans, openCyto
Suggests Me (3): BiocGenerics, flowTime, segmenTier