FlowDensity: Reproducing manual gating of flow cytometry data by automated density-based cell population identification

Bioinformatics

Volumn 31, Issue 4, 2015, Pages 606-607

  Malek, Mehrnoush ^a   Taghiyar, Mohammad Jafar ^a   Chong, Lauren ^c   Finak, Greg ^b   Gottardo, Raphael ^b   Brinkman, Ryan R ^a  

^a BRITISH COLUMBIA CANCER AGENCY   (Canada)

^b Fred Hutchinson Cancer Research Center   (United States)

^c UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

ALGORITHM; BIOLOGY; CELL FUNCTION; CLUSTER ANALYSIS; FACTUAL DATABASE; FLOW CYTOMETRY; HUMAN; PROCEDURES; SOFTWARE;

ALGORITHMS; BIOMARKERS; CELL PHYSIOLOGICAL PHENOMENA; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; FLOW CYTOMETRY; HUMANS; SOFTWARE;

EID: 84928189767     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu677     Document Type: Article

References (5)

1. Aghaeepour, N. et al. (2013) Critical assessment of automated flow cytometry data analysis techniques. Nat. Methods, 10, 228-238.
2. Finak, G. et al. (2014) PLOS computational biology OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated end-to-end flow cytometry data analysis. PLoS Comput. Biol., 10, e1003806.
3. Hu, X. et al. (2013) Application of user-guided automated cytometric data analysis to large-scale immunoprofiling of invariant natural killer T cells. Proc. Natl Acad. Sci. USA, 110, 19030-19035.
4. O'Neill, K. et al. (2013) Flow cytometry bioinformatics. PLoS Comput. Biol., 9, e1003365.
5. Zare, H. et al. (2010) Data reduction for spectral clustering to analyze high throughput flow cytometry data. BMC Bioinformatics, 11, 403.