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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.