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Table 3 Statistical properties of biclustering results for the artificial datasets embedded with multiplicative-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

PM

2

2

2.2

3

2.4

2.6

 

PAL

2

2

2.2

3.2

3

3.6

 

C&C

20

20

20

20

20

20

 

pCluster

1109

956.4

855.8

753.4

658.8

729.2

Average number of Rows

PM

25

24.80

24.17

23.72

20.20

23.40

 

PAL

25

23.70

21

20.10

19.52

19.72

 

C&C

5.850

5.560

6.900

8.820

8.270

6.940

 

pCluster

19.94

19.93

19.87

19.75

19.71

19.66

Average number of columns

PM

7

7

6.367

6.400

5.900

5.933

 

PAL

7

7

6.433

5.517

5.567

5.417

 

C&C

4.300

3.870

5.020

5.660

5.570

5.110

 

pCluster

4.346

4.345

4.297

4.224

4.178

4.158