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Despite differences between the two studies in the duration of the infection, the bacterial strains used and the growth characteristics of the intracellular bacteria, there was a level of correlation between datasets suggesting that a common set of genes determine a successful infection of a host cell (Figure 6, Table S4).
Despite both low and moderate correlations being evident between individual dimensions of the three instruments, correlations between the overall utilities and summary scores were all moderate reflecting a level of correlation deemed adequate by previous studies for the purposes of determining that such instruments are interchangeable [ 47, 58, 60– 60].
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As a result, a promising level of correlation with subjective quality assessment was obtained.
Within the 322 kb contiguous region is a small section which shows a lower level of correlation, due to it being comprised of a low copy repeat that also maps to chromosome 4p16.1, 11q13.4, and 12p13.31.
Figure 2 gives an example of a channel where there is a significant level of correlation between samples.
Linear regression analysis showed a high level of correlation (R = 0.92) and a curve slope of 1.00 (Standard Error: 0.05; p-value = 2.2e-16 2.2e-16
In children, Calamandrei et al. [26] compared CI measured by PRAM and Doppler echocardiography in 48 critically ill children and found a good level of correlation between both methods, with an acceptable percentage error of 21%%.
ΔT1 showed a significant positive correlation with the %Ki67+ cells, a similar level of correlation existed between %Ki67+ and ΔCho/H2O (r = 0.56, p = 0.036); and of course negative correlation with the %Ki67- cells (graphs not shown).
There was a slightly positive correlation between total MIDAS scores and HDPM when it had a low positive correlation with NRS; however, HDPM had a higher level of correlation.
A decreased level of correlation of the glycerophospholipids was seen in cluster A (Figures S1, S2, S3 and S4).
Several genes involved in thiamine metabolism (THI3, THI4, and PET18 ) displayed a high level of correlation as did the actin gene ACT1, and a cell wall gene (SCW4 ).
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