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Table 2 and Figure 2 show that, except for the poorest sequence variability score EN, WCN correlates, on average, better than CN* for all other site-dependent sequence profiles (Table S6).

The model fits were close, correlating on average 98.1% with the observed data.

This index represents how two activity patterns separated by Δ t are correlated, on average.

The composite measure of spatial ability (S) correlated on average.43 with each of the three mathematics subtests (see Figure  2a for these phenotypic correlations).

Inspection of Table 2 (columnwise) and Figure 2 shows clearly that LPD measures (WCN and CN*) correlate, on average, better with all sequence variability measures than SA measures (ASA, RSAR, RSAM, and RSAT).

The amplitude envelopes of beta oscillations were also significantly correlated across the hemispheres on average 7.8 ± 1.2% of each recording (p ⩽ 0.05; unpaired one-sided t-test; average lag = 0 s) (Table 3); and the beta instantaneous frequency was correlated on average 5.3 ± 0.9% of each recording across the two hemispheres (p ⩽ 0.05; unpaired one-sided t-test; average lag = 0.002 s) (Table 3).

Interestingly, despite a positive correlation on average among all miRNA-target pairs, we also found strong peak of about 20 negatively correlated miRNAs and 300 negatively correlated mRNAs.

However, the obtained results are comprehensible (see Table 3): 1) for sample sets having not correlated RNA quality profiles the inter-platform correlations increase on average; 2) for samples containing coherent profiles inter-platform correlations decrease on average.

The observation that plasticity positively correlates with epistasis (on average, significantly antagonistic in bacterial sncRNAs) supports the positive relationship between plasticity and evolvability, since antagonistic epistasis would promote evolvability [ 30].

Amplitude envelopes of low gamma oscillations were significantly correlated across hemispheres on average 5.7 ± 0.7% of each recording (p ⩽ 0.05; unpaired one-sided t-test) with an average lag of 0 s (Table 3).

Next, we correlated HF-HRVsleep (on average) with HF-HRVwake as well as with all sleep variables.