Figure 2. Results from the classifier algorithm and the differential analysis based on the miRNA expression assessed by small RNA sequencing. (A) The classifier algorithm is based on the expression of 6 miRNAs (hsa-miR-141-3p, hsa-miR-141-5p, hsa-miR-146a-5p, hsa-miR-194-5p, hsa-miR-200b-3p, hsa-miR-365b-5p) in 71 samples of BMs derived from lung carcinomas (BML), breast carcinomas (BMB), melanomas (BMM), colorectal carcinomas (BMC), and renal cell carcinomas (BMR). The real BM origin is represented by columns and the classifier prediction by rows. The classifier correctly identified the origin of 91.5% of samples which are highlighted in green. Incorrectly classified samples are highlighted in yellow. The corresponding sensitivity, specificity and 95% confidence interval (CI) values for each group of BMs are shown in the bottom part. (B) The hierarchical clustering analysis based on the expression of the 6 miRNAs in 71 samples of BMs derived from lung carcinomas (dark blue), breast carcinomas (pink), melanomas (gray), colorectal carcinomas (dark red), and renal cell carcinomas (yellow) was visualized in a heatmap with dendrogram. The green-black-red spectrum represents miRNA expression in samples from low (green) to high expression (red).