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Pervinder Sagoo, Esperanza Perucha, Birgit Sawitzki, Stefan Tomiuk, David A. Stephens, Patrick Miqueu, Stephanie Chapman, Ligia Craciun, Ruhena Sergeant, Sophie Brouard, Flavia Rovis, Elvira Jimenez, Amany Ballow, Magali Giral, Irene Rebollo-Mesa, Alain Le Moine, Cecile Braudeau, Rachel Hilton, Bernhard Gerstmayer, Katarzyna Bourcier, Adnan Sharif, Magdalena Krajewska, Graham M. Lord, Ian Roberts, Michel Goldman, Kathryn J. Wood, Kenneth Newell, Vicki Seyfert-Margolis, Anthony N. Warrens, Uwe Janssen, Hans-Dieter Volk, Jean-Paul Soulillou, Maria P. Hernandez-Fuentes, Robert I. Lechler
Published in Volume 120, Issue 6
J Clin Invest. 2010; 120(6):1848–1861 doi:10.1172/JCI39922
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Figure 8
ROC curve generation combining cross-platform biomarkers.

ROC curves of the training set (A) and test set (B) generated using cross-platform biomarkers and genes identified by microarray analysis. Two-class ROC curves (Tol-DF vs. nontolerant groups, excluding HCs) were generated using 4 biomarkers: B/T lymphocyte ratio, percent CD4+CD25int, ratio of anti-donor/anti-3rdP ELISpot frequencies, and ratio of FOXP3/MAN1A2 expression, combined with sequential addition of the 10 most significant genes. Estimated probabilities of patients from each study group of the training set (C) and test set (D) being classified as tolerant based on the cross-platform biomarker signature of tolerance (4 biomarkers plus 10 genes), calculated using a binary regression procedure.