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Table 4 Summary of experimental results for the microarrays in Table 3

From: Configurable pattern-based evolutionary biclustering of gene expression data

Dataset

Algorithm

NumBic

Genes

Conditions

VEt

Mean gene variance

 
 

OPSM

14

496.1 ± 791.1

8.6 ± 4.4

0.189 ± 0.051

1.39×105 ± 2.23×105

 
 

ISA

0

-

-

-

-

 

Yeast 2884x17

CC

100

34.0 ± 64.2

7.6 ± 3.2

0.151 ± 0.048

3.20×103 ± 3.16×103

 
 

Bimax

56

2297.6 ± 26.1

15.3 ± 0.5

0.207 ± 0.004

1.42×105 ± 5.41×103

 
 

Evo-Bexpa

100

44.0 ± 33.7

11.8 ± 3.9

0.051 ± 0.027

9.81×102 ± 5.00×102

 
 

OPSM

12

1151.5 ± 1809.1

7.8 ± 4.1

0.155 ± 0.072

2.51×108 ± 4.22×108

 
 

ISA

20

377.0 ± 191.0

2.7 ± 0.8

0.145 ± 0.053

5.98×108 ± 3.85×108

 

ET 7129x60

xMotifs

1000

2134.6 ± 830.4

5.0 ± 0.0

0.135 ± 0.021

9.61×107 ± 3.74×107

 
 

CC

100

53.1 ± 100.4

11.9 ± 7.9

0.310 ± 0.082

6.14×104 ± 2.06×105

 
 

Evo-Bexpa

100

22.5 ± 6.8

50.8 ± 5.7

0.011 ± 0.003

1.78×107 ± 1.59×107

 
 

OPSM

12

924.3 ± 1633.3

7.8 ± 4.3

0.103 ± 0.047

1.75×108 ± 2.89×108

 

Leukemia 7129x72

ISA

34

253.1 ± 172.1

3.1 ± 1.1

0.147 ± 0.049

3.31×108 ± 2.17×108

 
 

CC

100

53.5 ± 232.4

13.9 ± 8.6

0.265 ± 0.067

4.32×104 ± 8.53×104

 
 

Evo-Bexpa

100

18.4 ± 2.9

63.3 ± 5.9

0.008 ± 0.002

4.46×106 ± 2.97×106

 
 

OPSM

27

1170.6 ± 3274.1

16.2 ± 8.8

0.399 ± 0.163

1.73×107 ± 5.55×107

 

Steminal 26127x30

ISA

0

-

-

-

-

 
 

CC

100

179.1 ± 813.6

13.0 ± 3.1

0.219 ± 0.071

4.84×104 ± 1.19×105

 
 

Evo-Bexpa

100

33.8 ± 17.9

26.3 ± 2.4

0.009 ± 0.004

4.80×105 ± 2.69×105

 
  1. Results are represented by the number of biclusters obtained, means and deviations of their volume (number of genes and experimental conditions), and means and deviations of their VE t values and mean gene variance (see section Methods).