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Table 7 Results of two-sample t-test

From: GNE: a deep learning framework for gene network inference by aggregating biological information

Probability bin for Sample A Probability bin for Sample B p-value for yeast p-value for E. coli
0.5 - 0.6 0.6 - 0.7 9.2e−14 6.9e−02
0.5 - 0.6 0.7 - 0.8 3.02e−51 1.23e−05
0.5 - 0.6 0.8 - 0.9 6.1e−117 7.4e−14
0.5 - 0.6 0.9 - 1.0 2.1e−177 3.7e−39
0.6 - 0.7 0.7 - 0.8 8.2e−17 1.1e−02
0.6 - 0.7 0.8 - 0.9 3.5e−69 9.2e−09
0.6 - 0.7 0.9 - 1.0 2.1e−128 1.9e−30
0.7 - 0.8 0.8 - 0.9 4.7e−28 4.8e−04
0.7 - 0.8 0.9 - 1.0 6.2e−87 7.4e−23
0.8 - 0.9 0.9 - 1.0 4.3e−35 5.1e−13
  1. We divide gene pairs into different probability groups based on predicted probabilities by GNE and compute the number of common interacting genes shared by these gene pairs. Significance test shows there is the significant difference between average number of shared genes in different probability bins