SEARCH

SEARCH BY CITATION

LITERATURE CITED

  • 1
    Pedreira CE,Costa ES,Barrena S,Lecrevisse Q,Almeida J,Van Dongen JJ,Orfao A. Generation of flow cytometry data files with a potentially infinite number of dimensions. Cytometry Part A 2008; 73A: 834846.
  • 2
    Costa ES,Arroyo ME,Pedreira CE,Garcia-Marcos MA,Tabernero MD,Almeida J,Orfao A. A new automated flow cytometry data analysis approach for the diagnostic screening of neoplastic B-cell disorders in peripheral blood samples with absolute lymphocytosis. Leukemia 2006; 20: 12211240.
  • 3
    Pynea S,Hua X,Wang K,Rossina E,Linc TI,Maiera LM,Baecher-Alland C,McLachlanb GJ,Tamayoa P,Haflera DA,De Jagera PL,Mesirova JP. Automated high-dimensional flow cytometric data analysis. PNAS 2009; 106: 85198524.
  • 4
    Costa ES,Pedreira CE,Flores J,Lecrevisse Q,Quijano S,Barrena S,Almeida J,Böttcher S,van Dongen JJM,Orfao A. Automated pattern-guided principal component analysis versus expert-based immunophenotypic classification of hematological malignancies. Leukemia 2010; 24: 19271933.
  • 5
    Aghaeepour N,Nikolic R,Hoos HH,Brinkman RR. Rapid cell population identification in flow cytometry data. Cytometry Part A. 2011; 79A: 613.
  • 6
    Jeffries D,Zaidi I,de Jong B,Holland MJ,Miles DJ. Analysis of flow cytometry data using. Cytometry Part A 2008; 73A: 857867.
  • 7
    Naumann U,Wand MP. Automation in high-content flow cytometry screening. Cytometry Part A. 2009; 75A: 789797.
  • 8
    Duda RO,Hart PE,Stork DG. Pattern Classification, Chapter 10, 2nd ed. New York: Wiley, 2001.
  • 9
    Kaufman L,Rousseeuw PJ. Finding Groups in Data, Chapter 2, New Jersey: Wiley, 1989.
  • 10
    Kalina T,Stuchlý J,Janda A,Hrusák O,Ruzicková S,Sedivá A,Litzman J,Vlkova M. Profiling of polychromatic flow cytometry data on B-Cells reveals patients' clusters in common variable immunodeficiency. Cytometry Part A 2009; 75A; 902909.
  • 11
    Kitsos CM,Bhamidipati P,Melnikova I,Cash EP,McNulty C,Furman J,Cima MJ,Levinson D. Combination of automated high throughput platforms. Flow cytometry, and hierarchical clustering to detect cell state. Cytometry Part A 2007; 71A; 1627.
  • 12
    Fišer K,Sieger T,Schumich A,Wood B,Irving J,Mejstríková E,Dworzak MN. Detection and monitoring of normal and leukemic cell populations with hierarchical clustering of flow cytometry data. Cytometry Part A 2012; 81A: 2534.
  • 13
    Pedreira CE,Costa ES,Arroyo ME,Almeida J,Orfao A. A multidimensional classification approach for the automated analysis of flow cytometry data. IEEE Trans Biomed Eng 2008; 55: 11551162.