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Original Articles
A novel statistical analysis and interpretation of flow cytometry data
H.T. BanksCenter for Research in Scientific Computation and Center for Quantitative Sciences in Biomedicine, North Carolina State University, Raleigh, NC27695-8212, USACorrespondence[email protected]
, D.F. KapraunCenter for Research in Scientific Computation and Center for Quantitative Sciences in Biomedicine, North Carolina State University, Raleigh, NC27695-8212, USA
, W. Clayton ThompsonCenter for Research in Scientific Computation and Center for Quantitative Sciences in Biomedicine, North Carolina State University, Raleigh, NC27695-8212, USA
, Cristina PeligeroICREA Infection Biology Laboratory, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003Barcelona, Spain
, Jordi ArgilaguetICREA Infection Biology Laboratory, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003Barcelona, Spain
& Andreas MeyerhansICREA Infection Biology Laboratory, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003Barcelona, Spain
Pages 96-132
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Received 17 Dec 2012, Accepted 03 Jun 2013, Published online: 05 Jul 2013
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