rogerswt/fluster: Fingerprint-based clustering of flow cytometry data
Fluster combines the speed and efficiency of Cytometric Fingerprinting (implemented in flowFP) with hierarchical agglomerative clustering. Conventional clustering is too slow to deal with the millions of data points (events) that are commonly encountered in flow cytometry data.
Getting started
Browse package contents
Package details |
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| Author | Wade Rogers |
| Maintainer | Wade Rogers <wade.rogers@spcytomics.com> |
| License | GPL-3 |
| Version | 1.0.2 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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