Skip to main content

Table 2 Statistical properties of biclustering results for the artificial datasets embedded with additive-related biclusters before post-filtering

From: Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate visualization

Property

Algorithm

Noise s.d.

  

0

0.1

0.2

0.3

0.4

0.5

Average number of biclusters

PA

4

4

4

4.4

5.8

6.6

 

C&C

40

40

40

40

40

40

 

pCluster

23

366.6

378.2

255.6

124.2

21.40

Average number of rows

PA

35

35

34.85

33.67

31.87

32.25

 

C&C

7.625

7.640

8.025

7.980

8.265

7.895

 

pCluster

25.57

23.14

23.28

22.98

22.69

21.74

Average number of columns

PA

8.250

8.250

8.250

7.480

7.262

7.228

 

C&C

3.725

4.500

4.915

4.765

5.070

5.280

 

pCluster

5.217

5.224

5.115

4.873

4.468

4.237