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Table 7 There is evidence for a real correlation between expression breadth and expression levels if non-parametric statistics are used

From: A simple metric of promoter architecture robustly predicts expression breadth of human genes suggesting that most transcription factors are positive regulators

Mean vs. breadth (Pearson correlation)parametric statistics

Mean-conditioned-by-breadth vs. breadth (Pearson correlation)parametric statistics

Mean vs. breadth (Spearman correlation)nonparametric statistics

Mean-conditioned-by-breadth vs. breadth (Spearman correlation)nonparametric statistics

 

r p  = 0.33, p < 2.2e-16, T

r p  = −0.012, p = 0.0546, T

rho= 0.94, p < 2.2e-16, T

rho= 0.45, p < 2.2e-16, T

10 TPM

r p  = 0.26, p < 2.2e-16, PC

r p  = 0.03, p = 4.486e-09, PC

rho= 0.95, p < 2.2e-16, PC

rho= 0.5, p < 2.2e-16, PC

r p  = 0.34, p < 2.2e-16, CCL

r p  = 0.12, p < 2.2e-16, CCL

rho= 0.957, p < 2.2e-16, CCL

rho= 0.44, p < 2.2e-16, CCL

r p  = 0.64, p < 2.2e-16, T

r p  = −0.00015, p = 0.9892, T

rho= 0.6, p < 2.2e-16, T

rho= 0.41, p < 2.2e-16, T

100 TPM

r p  = 0.52, p < 2.2e-16, PC

r p  = 0.07, p = 4.264e-12, PC

rho= 0.66, p < 2.2e-16, PC

rho= 0.49, p < 2.2e-16, PC

r p  = 0.66, p < 2.2e-16, CCL

r p  = 0.22, p < 2.2e-16, CCL

rho= 0.66, p < 2.2e-16, CCL

rho= 0.38, p < 2.2e-16, CCL

r p  = 0.76, p < 2.2e-16, T

r p  = −0.027, p = 0.4422, T

rho= 0.24, p < 2.2e-16, T

rho= 0.32, p < 2.2e-16, T

1000

r p  = 0.82, p < 2.2e-16, PC

r p  = 0.021, p = 0.4608, PC

rho= 0.28, p < 2.2e-16, PC

rho= 0.47, p < 2.2e-16, PC

TPM

r p  = 0.88, p < 2.2e-16, CCL

r p  = 0.12, p = 0.00016, CCL

rho= 0.25, p < 2.2e-16, CCL

rho= 0.34, p < 2.2e-16, CCL

  1. NOTE: Mean-conditioned-by-breadth is the mean where the average signal is calculated only in tissues in which the gene was “on”.
  2. T = tissue samples, PC = primary cell lines, CCL = cancer cell lines. Results obtained using nonparametric statistics are likely to be correct, as the distributions of both BoE and mean expression are not normal.