Cancer Institute A national cancer institute
designated cancer center

Sylvia K. Plevritis, PhD

Publication Details

  • CytoSPADE: high-performance analysis and visualization of high-dimensional cytometry data BIOINFORMATICS Linderman, M. D., Bjornson, Z., Simonds, E. F., Qiu, P., Bruggner, R. V., Sheode, K., Meng, T. H., Plevritis, S. K., Nolan, G. P. 2012; 28 (18): 2400-2401

    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.

    View details for DOI 10.1093/bioinformatics/bts425

    View details for Web of Science ID 000308532300067

    View details for PubMedID 22782546

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