General Information
| Description | High-performance analysis and visualization of high-dimensional cytometry data |
| Homepage | http://cytospade.org |
Publications
CytoSPADE: high-performance analysis and visualization of high-dimensional cytometry data
Motivation:
Recent advances in flow cytometry enable simultaneous single-cell measurement of 30+ surface and intracellular proteins. CytoSPADE is a high-performance implementation of an interface for the Spanning-tree Progression Analysis of Density-normalized Events algorithm for tree-based analysis and visualization of this high-dimensional cytometry data.
Availability:
Source code and binaries are freely available at http://cytospade.org and via Bioconductor version 2.10 onwards for Linux, OSX and Windows. CytoSPADE is implemented in R, C++ and Java.
Contact:
michael.linderman@mssm.edu
Supplementary Information:
Additional documentation available at http://cytospade.org.
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