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Detecting antibodies with similar reactivity patterns in the HLDA8 blind panel of flow cytometry data
Authors:Salganik M P  Hardie D L  Swart B  Dandie G W  Zola H  Shaw S  Shapiro H  Tinckam K  Milford E L  Wand M P
Affiliation:Department of Biostatistics, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA. salganik@hsph.harvard.edu
Abstract:The blind panel collected for the 8th Human Leucocyte Differentiation Antigens Workshop (HLDA8; ) included 49 antibodies of known CD specificities and 76 antibodies of unknown specificity. We have identified groups of antibodies showing similar patterns of reactivity that need to be investigated by biochemical methods to evaluate whether the antibodies within these groups are reacting with the same molecule. Our approach to data analysis was based on the work of Salganik et al. (in press) [Salganik, M.P., Milford E.L., Hardie D.L., Shaw, S., Wand, M.P., in press. Classifying antibodies using flow cytometry data: class prediction and class discovery. Biometrical Journal].
Keywords:Antibodies   Classification   Cluster of differentiation   CD   Flow cytometry   Blind panel   Reactivity pattern   Kernel smoothing
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