{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T12:59:42Z","timestamp":1762865982956},"reference-count":6,"publisher":"Oxford University Press (OUP)","issue":"18","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,9,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>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.<\/jats:p>\n               <jats:p>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.<\/jats:p>\n               <jats:p>Contact: \u00a0michael.linderman@mssm.edu<\/jats:p>\n               <jats:p>Supplementary Information: Additional documentation available at http:\/\/cytospade.org.<\/jats:p>","DOI":"10.1093\/bioinformatics\/bts425","type":"journal-article","created":{"date-parts":[[2012,7,11]],"date-time":"2012-07-11T02:46:38Z","timestamp":1341974798000},"page":"2400-2401","source":"Crossref","is-referenced-by-count":37,"title":["CytoSPADE: high-performance analysis and visualization of high-dimensional cytometry data"],"prefix":"10.1093","volume":"28","author":[{"given":"Michael D.","family":"Linderman","sequence":"first","affiliation":[{"name":"1 Department of Electrical Engineering, Stanford University, Stanford, CA, 2Department of Genetics and Genomic Sciences, Mt. 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