CytoSPADE

Bioinformatics(2012)

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摘要
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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关键词
high-dimensional cytometry data,Bioconductor version,Density-normalized Events algorithm,Spanning-tree Progression Analysis,Supplementary Information,additional documentation,high-performance implementation,intracellular protein,recent advance,simultaneous single-cell measurement
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