Figure 1

Scatter plot showing the ratio of POAG prediction for each sample. Figure 1 (a) The example figure for the scatter plot. The horizontal axis represents the ratio of positive prediction using genotype data. The positive prediction indicated the sample with POAG feature, and the negative prediction indicated the sample with control feature. The ratio was obtained by dividing the number of positive predictions by the total test number. Thus, “1” and “0” indicate 100% prediction as positive and negative, respectively. The vertical axis similarly represents the ratio using the cytokine data. Dots and triangles represent POAG and control samples, respectively. The figure can be read as, if one POAG sample was predicted as positive 60 times using the genotype data and 80 times using the cytokine data each with 100 sampling repeat times, the sample is plotted at (0.6, 0.8) by dot. If the approach has a good performance (means; highly negative or positive prediction) for samples with interaction between those two attributes, more samples will be plotted in the corner I or corner IV. If either the genotype or cytokine data is at risk for POAG, such samples will be plotted in the corner II or corner III, respectively. The diagonal line shows the threshold of the prediction by the integration approach. If a sample is plotted above or below the threshold, the final prediction result is positive or negative, respectively. Figure 1 (b) shows one of the examples as the comparatively smaller and unstable, which is the result with 40 sampling size and 201sampling times by RBF SVM method. Figure 1 (c), one of the examples as the best stable result, which is the result with 70 sampling size and 2,001sampling times by RBF SVM method.