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This coding change will also change the sign of beta estimates β ^ i if β ^ i ≠ 0. To make most pairwise correlations positive for SNPs in the joint analysis, we apply the Wang and Elston's SNP recoding algorithm [ 2], which is as follows.
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First, pairwise correlations captured most of the patterns in the population's activity and, therefore, provided a reliable basis for the reconstruction of the interaction networks.
In the present study, we demonstrate, for the 1st time, that pairwise correlations capture most of the patterns found in the population activity of the visual cortex in vivo.
Although inter-individual variation in the most preferred WHR was large, pairwise correlations between WHR values chosen in different series were.38 .68 and Cronbach's alpha for all six series was.88, indicating fairly good intra-individual consistency.
The nuclear RNA expression pattern was the most different from all, harboring the lowest pairwise correlations.
Moreover, even though there are a few methods available for network construction with microbiome data [ 28– 32], most methods for network analysis are based on pairwise correlations (or distance) and ignore high-order correlations.
Most between-lines correlations range from 0.7 to 0.9 and only few pairwise correlations are <0.65.
Vandesompele and coworkers have suggested methods to circumvent this, through the iterative calculation of pairwise correlations with other potential endogenous control genes and removal of the most deviating candidates [ 2].
Furthermore, pairwise correlations amongst the measures are small.
Table 7 shows the pairwise correlations between the residuals.
We evaluated pairwise correlations between explanatory variables at each scale using Pearson correlation.
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