As seen in Table 2, expression values from the genes ID3, MBTPS1, NOG, SFXN2, BMX, and SLC22A1 can jointly distinguish stroke from non-stroke samples with a high level of accuracy: 89.6% of samples are correctly classified in cross-validation sampling. This evidence concerns the gene SFXN2 and Stroke.