Figure 5 | npj Genomic Medicine

Figure 5

From: Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke

Figure 5

Differential expression and discriminatory ability of top-ranked genes within the validation cohort. (a) Peripheral blood differential expression of the top 10 genes between validation cohort neurologically asymptomatic controls and AIS patients. (b) Combined ability of the expression levels of the top 10 genes to discriminate between neurologically asymptomatic controls and AIS patients. (c) Peripheral blood differential expression of the top 10 genes between acute stroke mimics and AIS patients. (d) Combined ability of the expression levels of the top 10 genes to discriminate between acute stroke mimics and AIS patients. All gene expression values are reported as fold change relative to control. Statistical significance of intergroup differences in gene expression was determined via two-sample two-way t-test, and P-values were corrected to account for multiple comparisons via Holm's Bonferroni method.

Back to article page