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Table 3 Data discretization

From: Inferring gene regulatory networks from asynchronous microarray data with AIRnet

Pre-discretized data for an in-silico regulatory network consisting of 5 genes
  wt G1(-/-) G2(-/-) G3(-/-) G4(-/-) G5(-/-) G6(-/-) G7(-/-) G8(-/-)
G1 0.105 0.034 0.927 0.088 0.015 0.049 0.102 0.105 0.018
G2 0.877 0.804 0.000 0.864 0.870 0.981 0.837 0.873 0.797
G3 0.054 0.000 0.838 0.000 0.103 0.000 0.069 0.000 0.085
G4 0.386 0.310 0.611 0.243 0.083 0.432 0.440 0.394 0.364
G5 0.801 0.808 0.748 0.903 0.793 0.000 0.880 0.741 0.686
Post-discretized data for the same in-silico regulatory network consisting of 5 genes, k = 2.
  wt G1(-/-) G2(-/-) G3(-/-) G4(-/-) G5(-/-) G6(-/-) G7(-/-) G8(-/-)
G1 0 0 1 0 0 0 0 0 0
G2 1 1 0 1 1 1 1 1 1
G3 0 0 1 0 0 0 0 0 0
G4 1 0 1 0 0 1 1 1 1
G5 1 1 1 1 1 0 1 1 1
  1. Discretization of data by k-means clustering for an in-silico network consisting of 5 genes [17] - genes are divided by row, samples are divided by column.