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Figure 3B shows that eigengene based network adjacency (defined as the correlation between eigengenes raised to the soft-thresholding power 4) is highly correlated (r=0.93) with the cluster similarity parameter calculated by CPBA.
The height corresponding to this maximum was defined as the correlation height, which for most bright points was found to range below 20 Mm.
The forecasting metrics defined as the correlation coefficient (r), Nash-Sutcliffe efficiency (ENS), Willmott's Index (WI), root-mean-square error (RMSE) and mean absolute error (MAE) computed between the observed and forecasted stream-flow data are employed to assess the ELM model's effectiveness.
The predictability is defined as the correlation coefficient between the observed and predicted phenotypic values.
Similarity is defined as the correlation of position ratio profiles between individual i and m.
Movement similarity is defined as the correlation coefficient of the mouth height.
Interdependency can be defined as the correlation among the variables in the environmental space or task space.
Appearance similarity is defined as the correlation coefficient of the PCA weights trajectory of the animated sequence and the original sequence.
Autocorrelation function (ACF) measures the similarity between the observations as a function of the time lag whereas partial autocorrelation function (PACF) is defined as the correlation between Z t and Z t+k after the linear dependence of the lags [ t+1,t+k−1] is removed.
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The trait-based gene significance measure is defined as the absolute correlation and correlation test P-value between the trait and the gene expression profile.
The Spearman correlation coefficient is defined as the Pearson correlation coefficient between the ranked variables.
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