In addition, we determine a strong correlation between the elevated D-glucose and the elevated heart rate of treated embryos.
For example, many studies (e.g. [ 2- 5]) have determined a strong, positive correlation between the accuracy of numerical estimation and standardized tests of mathematics achievement.
In the general population, we determined a strong positive correlation between the number of social activities an individual participated in and the average quality of life (zero = 89.30, one = 93.28, two = 95.25, three = 96.27, four = 96.85).
We applied CpGlobal to calculate the GDMI from a selection of cancer cell lines to determine whether a strong correlation existed between these two technologies.
Peak IL-6, interleukin-15 (IL-15), interferon-γ (IFN- γ), and interleukin-10 (IL-10), concentrations on day 1 after CAR-T cell infusion have been determined to have a strong correlation with subsequent sCRS and neurotoxicity; nonetheless, whether those serum biomarkers can be used as accurate predictive biomarkers for sCRS and neurotoxicity remains to be elucidated.
As shown in Additional file 9, we determined a very strong correlation of expression for GGPPS, DXS, AACT, HMGR, MDD, IDS and HDS.
Using feature selection techniques in this study could also lead to determining which gene probes have a strong correlation between different forms of leukemia.
According to Drexler and Brattin, a strong correlation is determined by an R2 > 0.6 and a significant relationship with a slope as close as possible to 1 [84].
In each of the networks shown, the nodes represent orders, and an edge between two nodes indicates that there is a strong correlation (as determined by the threshold), either positively or negatively.
Furthermore, a strong correlation was determined between IL-6 and sFas at day 5 (r = 0.42; P < 0.01) and day 9 (r = 0.4; P < 0.05), but not at day 1 after major trauma.
