SEARCH

SEARCH BY CITATION

LITERATURE CITED

  • 1
    Boedigheimer MJ, Ferbas J. Mixture modeling approach to flow cytometry data. Cytometry Part A 2008; 73A: 421429.
  • 2
    Chattopadhyay PK, Hogerkorp CM, Roederer M. A chromatic explosion: The development and future of multiparameter flow cytometry. Immunology 2008; 125: 441449.
  • 3
    Finn WG. Beyond gating–capturing the power of flow cytometry. Am J Clin Path 2009; 131: 313314.
  • 4
    Rogers WT, Holyst HA. FlowFP: A bioconductor package for fingerprinting flow cytometric data. Adv Bioinfo 2009; 193947: 11.
  • 5
    Borowitz MJ, Craig FE, DiGiuseppe JA, Illingworth AJ, Rosse W, Sutherland DR, Wittwer CT, Richards SJ. Guidelines for the diagnosis and monitoring of paroxysmal nocturnal hemoglobinuria and related disorders by flow cytometry. Cytometry Part B 2010; 78B: 211230.
  • 6
    Parker C, Omine M, Richards S, Nishimura J, Bessler M, Ware R, Hillmen P, Luzzatto L, Young N, Kinoshita T, Rosse W, et al. Diagnosis and management of paroxysmal nocturnal hemoglobinuria. Blood 2005; 106: 36993709.
  • 7
    Richards SJ, Barnett D. The role of flow cytometry in the diagnosis of paroxysmal nocturnal hemoglobinuria in the clinical laboratory. Clin Lab Med 2007; 27: 577590.
  • 8
    Bagwell CB. Probability state modeling: A new paradigm for cytometric analysis. In: Litwin V, Marder P, editors. Flow Cytometry in Drug Discovery and Development. New Jersey: John Wiley & Sons, Inc.; 2010. pp 281302.
  • 9
    Bagwell CB. Breaking the dimensionality barrier. In: Hawley TS, Hawley RG, editors.Flow Cytometry Protocols, Vol. 699. New York: Humana Press; 2010. pp 3151.