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Table 2 Precision of the simulations with one module in background noise

From: Defining structural and evolutionary modules in proteins: a community detection approach to explore sub-domain architecture

Sample Intra-cluster Intracorrelation quantiles Background correlation quantiles
Size correlation 0% 25% 50% 75% 100% 0% 25% 50% 75% 100%
100 0.2 -0.087 0.145 0.206 0.274 0.545 -0.348 -0.058 0.009 0.077 0.304
0.4 0.061 0.288 0.341 0.395 0.589 -0.314 -0.075 -0.0064 0.059 0.331
0.6 0.334 0.542 0.578 0.619 0.765 -0.361 -0.072 -0.002 0.066 0.296
0.8 0.651 0.771 0.791 0.811 0.875 -0.365 -0.073 0.002 0.067 0.291
1.0 1.0 1.0 1.0 1.0 1.0 -0.209 -0.069 -0.019 0.051 0.232
  0.2 0.061 0.168 0.193 0.220 0.354 -0.169 -0.029 0.001 0.029 0.139
  0.4 0.261 0.365 0.389 0.411 0.494 -0.172 -0.029 0.002 0.0332 0.204
500 0.6 0.485 0.562 0.580 0.597 0.656 -0.152 -0.031 2 × 10-5 0.031 0.149
0.8 0.743 0.776 0.786 0.795 0.824 -0.161 -0.041 -0.011 0.019 0.144
  1.0 1.0 1.0 1.0 1.0 1.0 -0.142 -0.0350 1.7 × 10-4 0.029 0.087
  0.2 0.087 0.170 0.190 0.209 0.308 -0.131 -0.021 7.2 × 10-4 0.023 0.116
  0.4 0.338 0.391 0.407 0.422 0.4745 -0.108 -0.016 0.005 0.0267 0.126
1000 0.6 0.535 0.580 0.591 0.603 0.647 -0.103 -0.018 0.002 0.023 0.129
0.8 0.759 0.791 0.798 0.804 0.827 -0.131 -0.024 -0.005 0.012 0.083
  1.0 1.0 1.0 1.0 1.0 1.0 -0.038 -0.014 0.009 0.024 0.068
  1. Precision of the simulation of one module on background noise with 100, 500, and 1000 samples. The quantiles describe the distribution of values in the lower triangle of the correlation matrix for the full simulated data set. The background quantiles represent the distribution of values in the rest of the matrix as background noise.