Table 2 The effects of parameters l and r in dataset1
From: A novel algorithm based on bi-random walks to identify disease-related lncRNAs
r = 1 | r = 2 | r = 3 | r= 4 | r = 5 | r = 6 | r=7 | |
|---|---|---|---|---|---|---|---|
l = 1 | 0.7618 | 0.7230 | 0.6902 | 0.6714 | 0.6585 | 0.6448 | 0.6304 |
l = 2 | 0.8124 | 0.7890 | 0.7292 | 0.6985 | 0.6802 | 0.6702 | 0.6564 |
l = 3 | 0.8008 | 0.8214 | 0.8140 | 0.7295 | 0.7010 | 0.6838 | 0.6713 |
l = 4 | 0.7919 | 0.8092 | 0.8230 | 0.8243 | 0.7285 | 0.7000 | 0.6850 |
l = 5 | 0.7848 | 0.7989 | 0.8115 | 0.8238 | 0.8267 | 0.7269 | 0.6988 |
l = 6 | 0.7778 | 0.7911 | 0.8006 | 0.8119 | 0.8236 | 0.8268 | 0.7255 |
l = 7 | 0.7729 | 0.7834 | 0.7920 | 0.8007 | 0.8116 | 0.8233 | 0.8263 |