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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