Exact(2)
Data from the microsatellite markers revealed highly significant genetic differentiation among the three species/sub-species (Table 2).
The results from AM with these additional markers revealed highly significant associations for the synthetic markers in VRN-H1, VRN-H2, and VRS1.
Similar(58)
Pleural fluid marker analysis revealed highly significant differences in the levels of seven of the analysed markers between benign and lung cancer patients (Table 1, Figure 1): the concentrations of all seven markers, MMP-9, MMP-3, CycD1, Ki67, ImAnOx, carbonyls and p27, were lower in cancer patients by 9 65%.
The VrnA map, which consisted of the highest number of mapped EST-SSRs and anchor markers, revealed a highly consistent marker order when compared to the consensus map.
Using paired t-tests to compare mean marks for the written report between supervisors and second markers revealed a highly significant difference (t = 3.12, p < 0.01), with the supervisor scoring higher than the second marker (difference in grade score = 0.42, 95% confidence interval for mean difference 0.18 – 0.18).
Expression of the TGFβ pathway markers in breast cancer revealed highly contradictory results.
Correlation of staining patterns revealed highly significant correlations between melanocytic differentiation markers, and with nestin and fascin expression (all significant at the P < 0·001 level), but no correlation with CD20 expression.
But Ormandy says his samples revealed highly sensitive data.
Arranging log2AEI ratios in increasing order from negative-to-positive values revealed highly reproducible distributions of log2AEI ratios that are distinct for each gene/marker SNP combination.
An ANOVA revealed highly significant differences between groups (p<0.001).
Linear regression analysis of these data revealed highly significant correlations.
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