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» The curvHDR method for gating flow cytometry samples
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BMCBI
2010
78views more  BMCBI 2010»
13 years 11 months ago
The curvHDR method for gating flow cytometry samples
High-throughput flow cytometry experiments produce hundreds of large multivariate samples of cellular characteristics. These samples require specialized processing to obtain clini...
Ulrike Naumann, George Luta, Matthew P. Wand
BMCBI
2010
144views more  BMCBI 2010»
13 years 5 months ago
Optimizing Transformations for Automated, High Throughput Analysis of Flow Cytometry Data
Background: In a high throughput setting, effective flow cytometry data analysis depends heavily on proper data preprocessing. While usual preprocessing steps of quality assessmen...
Greg Finak, Juan-Manuel Perez, Andrew Weng, Raphae...
SCFBM
2008
148views more  SCFBM 2008»
13 years 10 months ago
Flow: Statistics, visualization and informatics for flow cytometry
Flow is an open source software application for clinical and experimental researchers to perform exploratory data analysis, clustering and annotation of flow cytometric data. Flow...
Jacob Frelinger, Thomas B. Kepler, Cliburn Chan
BMCBI
2010
151views more  BMCBI 2010»
13 years 11 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
BMCBI
2010
151views more  BMCBI 2010»
13 years 11 months ago
Misty Mountain clustering: application to fast unsupervised flow cytometry gating
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
István P. Sugár, Stuart C. Sealfon