Although the studies discussed above reported different results in relation to correlation of specific air pollutants with pregnancy loss, all of them have shown that air pollutants have a strong correlation with spontaneous abortion.
To study the relation of these correlations with gene expression, we selected TSSs in score quantiles Q1 and Q10, and found that differences in gene expression of corresponding genes between Q1 and Q10 were very significant for ξ2 (P≤2.2×10−16, paired t-test), as opposed to ξ1 (P=0.916 for Q1, P=0.226 for Q10, paired t-test).
In the following scenario, POMO is used for integrating and visualizing copy number gains and losses in relation to correlation associations in application of human embryonic stem cells (hESC) and human induced pluripotent stem cells (hiPSC) samples [ 41, 42].
A standard way to estimate the relation in terms of correlation coefficient between two time series is through the following steps: (1) subtract from each series its average, (2) divide each series by its standard deviation, (3) plot one series versus the other and (4) estimate the linear correlation coefficient that is given by the best line that fits the obtained scatter plot (Brandt 1970).
4 Analysis of AnxA1 expression in distant tissues (eg, blood) during ongoing arthritis and glucocorticoid treatment can shed light on this point, which has also been touched upon above in relation to lack of correlation between joint AnxA1 mRNA and protein expression.
The correlation coefficient is applied to specify the sensitivity of two data series versus each other in face of changes as it presents the severity of relation, correlation and proportionality of the data.
In addition, the relation of the dislocation correlation to strain gradient theories and size effect is shown and discussed.
The specification of how the codes operate as selection environments upon one another requires a systems perspective on the distributions of both relations and non-relations in terms of correlations.
It is interesting to note from Eq. (27) that the correlation relation of (p1, p2, p4) is also related to the identifiable parameter p3.
Stinchcombe called this relation a "correlation of age and social structure".
