Advances in Bioinformatics
Volume 2009 (2009), Article ID 235320, 9 pages
doi:10.1155/2009/235320
Research Article

Tree-Based Methods for Discovery of Association between Flow Cytometry Data and Clinical Endpoints

M. Eliot,1 L. Azzoni,2 C. Firnhaber,3 W. Stevens,4 D. K. Glencross,4 I. Sanne,3 L. J. Montaner,2 and A. S. Foulkes1

1Division of Biostatistics, University of Massachusetts, Amherst, MA 01003, USA
2Immunology Program, Wistar Institute, Philadelphia, PA 19104, USA
3Clinical HIV Research Unit, University of Witwatersrand, Johannesburg, South Africa
4Department of Hematology and Molecular Medicine, National Health Laboratory Service and University of Witwatersrand, Johannesburg, South Africa

Received 19 May 2009; Revised 14 August 2009; Accepted 12 October 2009

Academic Editor: George Luta

Copyright © 2009 M. Eliot et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

M. Eliot, L. Azzoni, C. Firnhaber, et al., “Tree-Based Methods for Discovery of Association between Flow Cytometry Data and Clinical Endpoints,” Advances in Bioinformatics, vol. 2009, Article ID 235320, 9 pages, 2009. doi:10.1155/2009/235320