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In the multimedia forensics field, only few approaches in multimedia forensics considered correlation among sources.
We then considered correlation between the three cytokines for each antigen separately (Table 3 and figure 5).
We considered correlation coefficients above 0.8 as good, between 0.8 and 0.5 as fair, and below 0.5 as poor [ 4].
This variation does not reflect geographic differences in sampling intensity because no clear relationship was observed between median pairwise ordination distances and the number of viral isolates considered (correlation coefficient < 0.1; Figure S8).
The computational analysis considered correlation and variation of expression across cell types at both system levels, and also provided insights into the degree of co-regulatory relationships that are preserved between the two processes.
Finally, in the area of gene expression for classification of molecular subtype, we considered correlation used for validation in [ 27] (CVal), and with centroids for normal (CNorm), ErbB2+ (CERBB), Lumina A (CLumA), Lumina B (CLumB), and basal (CBas) from [ 6].
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A number of studies[11, 27 29] considered correlations between music features and valence and arousal.
We considered correlations to be of interest with r > 0.6.
We considered correlations with p-value less than 0.01 with FDR adjustment as significant.
We considered correlations between latent variables <0.80 as signifying distinct dimensions of disability.
We only considered correlations between regulators and targets that have predicted target interactions.
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