Fig. 1.

Detection rate of the miRNA ratio-based signature in the control and CRC groups. (A) With the data of the training set, logistic regression was used to integrate the summed effects of the four miRNA ratios into a miRNA signature for discriminating the CRC group from the control group. Scores ranging from 0 to 1 were generated for each sample; the dot plot denotes the distribution of scores in the control and CRC groups. The red bar shows the median of the respective groups. (B) The discriminating power for CRC was assessed using the ROC curve of the scores of the miRNA signature. The optimal cut-off value was calculated from the Youden's index on this ROC curve. (C) Scores obtained from the same regression algorithm based on the four miRNA ratios for each sample in the test set are shown. The cut-off value mentioned above is indicated by the dotted line. (D) The samples with scores higher than the cut-off value are marked as positive. The positive rates of the control and CRC groups in the two sample sets are further represented in a bar chart.