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BMCBI
2010
144views more  BMCBI 2010»
12 years 11 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...
BMCBI
2010
151views more  BMCBI 2010»
13 years 4 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 4 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
SCFBM
2008
148views more  SCFBM 2008»
13 years 4 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
ICASSP
2010
IEEE
13 years 4 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...