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Growth was positively correlated with leaf levels (decreasing order of significance) of K, S, P, and Zn and negatively correlated with leaf Na and Ca. The leaf K, which had the highest positive correlation with growth, was highly significantly positively correlated with leaf S, P, N, and Zn and highly significantly but negatively correlated with leaf Ca, Mg and Mn.
Also, the sex hormone-binding globulin (SHBG) statistically significantly correlated with most of hormones, with the highest positive correlation with estradiol (r = 0.32).
The protein with the highest positive correlation (r = 0.651) and hence the highest-ranking candidate positive regulator is the C2H2 zinc finger protein PFC0690c.
Among the Th differentiation programmes (arrows in Figure 5a), Th17 differentiation programme showed the highest positive correlation with Axis 1, and the iTreg differentiation programme strongly and negatively correlated with Axis 1.
For two variables correlated, the degree of correlation will fall somewhere between +1.00 (the highest positive correlation) and −1.00 (the highest negative correlation).
The highest positive correlation was observed in the hippocampus (r = 0.75 in k 3 and 0.76 in λk 3; Fig. 1a, b).
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Statistical analyses on these large database showed that Co has the highest positive correlations with many elements and ash content.
Specifically, the highest positive correlations were observed when miRNA and its corresponding mRNA was physically close each other on a chromosome.
The transcription factors that had the highest positive correlations are shown in Supplementary Table S4.
A high positive correlation (≥0.93) between rainfall and total average daily larval counts was apparent.
The correlation coefficient indicates that months of April and May showed relatively higher positive correlation.
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