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Table 1 The mean and standard deviation (in parenthesis) of false positives (FP) and false negatives (FN) for connections from neighbor selection (NS), graphical LASSO (gLASSO) and weighted graphical LASSO (wgLASSO) methods under different node number (p) and sample size (n) scenarios

From: Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSO

p

n

NS (or)

NS (and)

gLASSO

wgLASSO (a c c=60%)

wgLASSO (a c c=40%)

  

FP

FN

FP

FN

FP

FN

FP

FN

FP

FN

100

50

150 (17)

151 (10)

166 (15)

157 (10)

154 (23)

148 (11)

1 1 2 ( 1 7 )

1 0 4 ( 1 1 )

129 (18)

122 (11)

 

100

113 (16)

111 (15)

132 (17)

122 (16)

114 (20)

112 (15)

8 2 ( 1 5 )

7 4 ( 1 3 )

93 (16)

87 (12)

 

200

69 (13)

59 (18)

78 (15)

72 (21)

79 (17)

63 (19)

5 1 ( 1 1 )

3 9 ( 1 4 )

58 (13)

50 (15)

500

250

707 (42)

679 (77)

758 (43)

738 (82)

710 (48)

681 (77)

4 8 0 ( 3 6 )

4 5 1 ( 6 6 )

549 (39)

526 (60)

 

500

425 (30)

453 (129)

473 (42)

493 (134)

431 (40)

468 (129)

2 7 7 ( 2 6 )

2 9 0 ( 8 7 )

330 (31)

313 (106)

 

1000

175 (22)

164 (117)

189 (27)

177 (118)

199 (28)

186 (126)

1 0 9 ( 1 8 )

1 1 0 ( 7 6 )

130 (21)

135 (88)

  1. The best performance is marked in bold