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LITERATURE CITED

  • 1
    Craig FE, Foon KA. Flow cytometric immunophenotyping for hematologic neoplasms. Blood 2008;111:3413967.
  • 2
    Kussick SJ, Kalnoski M, Braziel RM, Wood BL. Prominent clonal B-cell populations identified by flow cytometry in histologically reactive lymphoid proliferations. Am J Clin Pathol 2004;121:464472.
  • 3
    Cook JR, Craig FE, Swerdlow SH. bcl-2 expression by multicolor flow cytometric analysis assists in the diagnosis of follicular lymphoma in lymph node and bone marrow. Am J Clin Pathol 2003;119:145151.
  • 4
    Cornfield DB, Mitchell DM, Almasri NM, Anderson JB, Ahrens KP, Dooley EO, Braylan RC. Follicular lymphoma can be distinguished from benign follicular hyperplasia by flow cytometry using simultaneous staining of cytoplasmic bcl-2 and cell surface CD20. Am J Clin Pathol 2000;114:258263.
  • 5
    Ray S, Craig FE, Swerdlow SH. Abnormal patterns of antigenic expression in follicular lymphoma: A flow cytometric study. Am J Clin Pathol 2005;124:576583.
  • 6
    Almasri NM, Iturraspe JA, Braylan RC. CD10 expression in follicular lymphoma and large cell lymphoma is different from that of reactive lymph node follicles. Arch Pathol Lab Med 1998;122:539544.
  • 7
    Aghaeepour N, Chattopadhyay PK, Ganesan A, O'Neill K, Zare H, Jalali A, Hoos HH, Roederer M, Brinkman RR. Early immunologic correlates of HIV protection can be identified from computational analysis of complex multivariate T-cell flow cytometry assays. Bioinformatics 2012;28:10091016.
  • 8
    Aghaeepour N, Jalali A, O'Neill K, Chattopadhyay PK, Roederer M, Hoos HH, Brinkman RR. RchyOptimyx: Cellular hierarchy optimization for flow cytometry. Cytometry A 2012;81A:10221030.
  • 9
    Swerdlow SH, International Agency for Research on Cancer, and World Health Organization. WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues, 4th ed. World Health Organization Classification of Tumours, 2008. Lyon, France: International Agency for Research on Cancer. 439 p.
  • 10
    Bashashati A, Brinkman RR. A survey of flow cytometry data analysis methods. Advances in Bioinformatics 2009;584603, 19 p.
  • 11
    Maecker HT, McCoy JP, Nussenblatt R. Standardizing immunophenotyping for the Human Immunology Project. Nat Rev Immunol 2012;12:191200.
  • 12
    Preffer F, Dombkowski D. Advances in complex multiparameter flow cytometry technology: Applications in stem cell research. Cytometry B Clin Cytom 2009;76B:295314.
  • 13
    Costa ES, Arroyo ME, Pedreira CE, García-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;20:12211230.
  • 14
    Zare H, Bashashati A, Kridel R, Aghaeepour N, Haffari G, Connors JM, Gascoyne RD, Gupta A, Brinkman RR, Weng AP. Automated analysis of multidimensional flow cytometry data improves diagnostic accuracy between mantle cell lymphoma and small lymphocytic lymphoma. Am J Clin Pathol 2012;137:7585.
  • 15
    Jaimes MC, JMaecker HT, Yan M, Maino VC, Hanley MB, Greer A, Darden JM, DO'Souza MP. Quality assurance of intracellular cytokine staining assays: Analysis of multiple rounds of proficiency testing. J Immunol Methods 2011;363:143157.
  • 16
    Aghaeepour N, Finak G; FlowCAP Consortium; DREAM Consortium, Hoos H, Mosmann TR, Brinkman R, Gottardo R, Scheuermann RH. Critical assessment of automated flow cytometry data analysis techniques. Nat Methods 2013;10:228238.
  • 17
    Deaglio S, Malavasi F. The CD38/CD157 mammalian gene family: An evolutionary paradigm for other leukocyte surface enzymes. Purinergic Signal 2006;2:431441.
  • 18
    Deaglio S, Mehta K, Malavasi F. Human CD38: A (r)evolutionary story of enzymes and receptors. Leuk Res 2001;25:112.
  • 19
    Perez-Andres M, Paiva B, Nieto WG, Caraux A, Schmitz A, Almeida J, Vogt RFJr, Marti GE, Rawstron AC, Van Zelm MC, et al. Human peripheral blood B-cell compartments: A crossroad in B-cell traffic. Cytometry B Clin Cytom 2010;78B(Suppl 1):S47S60.
  • 20
    Ridderstad A, Tarlinton DM. Kinetics of establishing the memory B cell population as revealed by CD38 expression. J Immunol 1998;160:46884695.
  • 21
    Mantei K, Wood BL. Flow cytometric evaluation of CD38 expression assists in distinguishing follicular hyperplasia from follicular lymphoma. Cytometry B Clin Cytom 2009;76B:315320.
  • 22
    Aghaeepour N, Nikolic R, Hoos HH, Brinkman RR. Rapid cell population identification in flow cytometry data. Cytometry A 2011;79A:613.
  • 23
    Pedreira CE, Costa ES, Almeida J, Fernandez C, Quijano S, Flores J, Barrena S, Lecrevisse Q, Van Dongen JJ, Orfao A. A probabilistic approach for the evaluation of minimal residual disease by multiparameter flow cytometry in leukemic B-cell chronic lymphoproliferative disorders. Cytometry A 2008;73A:11411150.
  • 24
    Costa ES, Pedreira CE, Barrena S, Lecrevisse Q, Flores J, Quijano S, Almeida J, del Carmen García-Macias M, Bottcher S, Van Dongen JJ, Orfao A. Automated pattern-guided principal component analysis vs expert-based immunophenotypic classification of B-cell chronic lymphoproliferative disorders: A step forward in the standardization of clinical immunophenotyping. Leukemia 2010;24:19271933.
  • 25
    Azad A, Pothen A. Multithreaded algorithms for matching in graphs with application to data analysis in flow cytometry. In: Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW); Shanghai, China, 2012 IEEE 26th International, 2012.