CytoSPADE: high-performance analysis and visualization of high-dimensional cytometry data.
basic_science · Level V
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- Record sourced from PubMed, PMID 22782546.
- Also identified by DOI 10.1093/bioinformatics/bts425 and PMC identifier 3436846.
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Abstract
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. 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. michael.linderman@mssm.edu Additional documentation available at http://cytospade.org.
Medical subject headings
- Algorithms
- Flow Cytometry
- Software