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


BACKGROUND
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.


BACKGROUND
michael.linderman@mssm.edu


BACKGROUND
Additional documentation available at http://cytospade.org.
Department of Electrical Engineering, Stanford University, Stanford, CA, USA. michael.linderman@mssm.edu
Michael D
MD
Linderman
Zach
Z
Bjornson
Erin F
EF
Simonds
Peng
P
Qiu
Robert V
RV
Bruggner
Ketaki
K
Sheode
Teresa H
TH
Meng
Sylvia K
SK
Plevritis
Garry P
GP
Nolan
D000465:Algorithms; D003196:Computer Graphics; D005434:Flow Cytometry / Q000379:methods*; D012984:Software