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flowCore: a Bioconductor package for high throughput flow cytometry
Authors:Florian Hahne  Nolwenn LeMeur  Ryan R Brinkman  Byron Ellis  Perry Haaland  Deepayan Sarkar  Josef Spidlen  Errol Strain  Robert Gentleman
Institution:1. Life Sciences Department, Computational Biology Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, M2-B876, PO Box 19024, Seattle, Washington, 98109-1024, USA
2. EA SeRAIC INSERM, IRISA – Symbiose, Campus Beaulieu, Université de Rennes I, 35042, Rennes Cedex, France
3. Terry Fox Laboratory, British Columbia Cancer Agency Research Centre, 675 West 10th Avenue, Vancouver, BC, V5Z 1L3, Canada
4. AdBrite Inc,, 731 Market St, 5th Floor, San Francisco, California, 94103, USA
5. BD Biosciences, Research Triangle Park, North Carolina, 27709, USA
Abstract:

Background  

Recent advances in automation technologies have enabled the use of flow cytometry for high throughput screening, generating large complex data sets often in clinical trials or drug discovery settings. However, data management and data analysis methods have not advanced sufficiently far from the initial small-scale studies to support modeling in the presence of multiple covariates.
Keywords:
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