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Table 2 Application of SNSVD to the BRCA data. “edge.avg” represents the average of number of edges of modules in the PPI network, and “Fold Change” represents the fold change of “edge.avg” between the identified modules and random modules, and “d.avg” denotes the average of singular values of modules

From: Network-based cancer genomic data integration for pattern discovery

Method

σ

edge.avg

FC.avg

d.avg

Sparse SVD

0

27.05

1.27

25.74

SNSVD

1

26.70

1.25

25.75

SNSVD

10

35.05

1.64

25.70

SNSVD

20

56.45

2.65

25.68

SNSVD

40

85.95

4.03

24.91

SNSVD

60

179.45

8.42

22.79

SNSVD

80

132.10

6.20

22.94

SNSVD

90

126.00

5.91

22.12

SNSVD

100

108.10

5.07

21.61

SNSVD

150

251.05

11.78

16.50

SNSVD

200

231.30

10.86

10.24

  1. Note that SNSVD reduces to a sparse SVD when σ=0