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Bioinformatics. 2012 Sep 15;28(18):2400-1. doi: 10.1093/bioinformatics/bts425. Epub 2012 Jul 10.

CytoSPADE: high-performance analysis and visualization of high-dimensional cytometry data.

Author information

1
Department of Electrical Engineering, Stanford University, Stanford, CA, USA. michael.linderman@mssm.edu

Abstract

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.

PMID:
22782546
PMCID:
PMC3436846
DOI:
10.1093/bioinformatics/bts425
[Indexed for MEDLINE]
Free PMC Article
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