Skip to main content

Table 6 Subnetworks of breast cancer data. The BC-1nb-net/BC-2nb-net had 294/1,718 genes in total including 40/107 cancer genes, and 7/14 cancer genes with mutation frequencies larger than 0.10. The classification error, number of selected cancer genes with mutation frequencies larger than 0.10 (CA-LMF), number of selected cancer genes (CA), number of selected genes, and their standard errors (SE in parentheses) were obtained by averaging over 10 runs.

From: Network-based support vector machine for classification of microarray samples

Network

Method

Error

# CA-LMF

# CA

# Genes

BC-1nb-net

STD

0.371 (0.014)

7.0 (0.0)

40.0 (0.0)

294.0 (0.0)

 

L1

0.357 (0.014)

0.3 (0.2)

4.6 (0.8)

32.3 (4.8)

 

New (w = 1)

0.360 (0.014)

0.4 (0.2)

3.6 (1.1)

25.0 (7.0)

 

New (w = d MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaWaaOaaaeaacqWGKbazaSqabaaaaa@2D41@ )

0.366 (0.012)

0.6 (0.3)

4.7 (1.2)

27.2 (5.2)

 

New (w = d)

0.399 (0.012)

1.2 (0.2)

7.8 (1.7)

40.2 (6.5)

 

Final Model

-

1.0

4.0

14.0

BC-2nb-net

STD

0.351 (0.014)

14.0 (0.0)

107.0 (0.0)

1,718.0 (0.0)

 

L1

0.360 (0.006)

0.0 (0.0)

2.4 (0.9)

42.9 (11.8)

 

New (w = 1)

0.374 (0.011)

0.1 (0.1)

1.9 (0.5)

51.4 (12.6)

 

New (w = d MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaWaaOaaaeaacqWGKbazaSqabaaaaa@2D41@ )

0.360 (0.007)

0.2 (0.1)

2.5 (0.7)

41.7 (9.2)

 

New (w = d)

0.385 (0.021)

0.3 (0.2)

0.7 (0.3)

34.2 (10.3)

 

Final Model

-

1.0

2.0

23.0