Figure 1.
Box plots of CCRs for patients who develop (CCR1) and do not develop (CCR0) GVHD/NRM as predicted with the different models. The AUC and the number of variables used are shown in each case. The predictive ability of each model, built using 85% of the samples (training set), was computed with the remaining 15% of the samples (test set). To evaluate the performance and predictive ability of each model, training and testing samples were randomly selected and the procedure repeated 100 times. The distribution of the CCR and AUC over the 100 iterations is shown by means of box plots. CCRs for the development of aGVHD, cGVHD, and NRM obtained using the predictive model including only clinical variables (upper panels), the model including only genetic variables (middle panels), and the model including both clinical and genetic variables (lower panels) are shown. Number of clinical/recipient SNPs/donor SNPs variables is indicated in parenthesis.

Box plots of CCRs for patients who develop (CCR1) and do not develop (CCR0) GVHD/NRM as predicted with the different models. The AUC and the number of variables used are shown in each case. The predictive ability of each model, built using 85% of the samples (training set), was computed with the remaining 15% of the samples (test set). To evaluate the performance and predictive ability of each model, training and testing samples were randomly selected and the procedure repeated 100 times. The distribution of the CCR and AUC over the 100 iterations is shown by means of box plots. CCRs for the development of aGVHD, cGVHD, and NRM obtained using the predictive model including only clinical variables (upper panels), the model including only genetic variables (middle panels), and the model including both clinical and genetic variables (lower panels) are shown. Number of clinical/recipient SNPs/donor SNPs variables is indicated in parenthesis.

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