Table 3.
Topology consistency check of the models produced by Hierarchical3DGenome and LorDG without domain partitioning.
Hierarchical3DGenome | LorDG Without Partition | |
---|---|---|
1 | 0.898720584 | 0.074093704 |
2 | 0.933686968 | 0.025649295 |
3 | 0.938667819 | 0.074893363 |
4 | 0.988076596 | 0.013585756 |
5 | 0.875989854 | −0.020093576 |
6 | 0.911444415 | 0.230877171 |
7 | 0.72885098 | 0.096554188 |
8 | 0.962162304 | 0.0460202 |
9 | 0.911241704 | 0.27890049 |
10 | 0.908920242 | 0.100821567 |
11 | 0.856633536 | 0.127690704 |
12 | 0.933434252 | 0.113935156 |
13 | 0.91778003 | 0.181649622 |
14 | 0.8897597 | 0.279229499 |
15 | 0.851429745 | 0.06654513 |
16 | 0.900103388 | 0.011566887 |
17 | 0.914467918 | 0.031162663 |
18 | 0.899153126 | 0.094189398 |
19 | 0.810298639 | 0.400262366 |
20 | 0.823568359 | 0.202652796 |
21 | 0.757115911 | 0.37725465 |
22 | 0.751419102 | 0.445408394 |
The Spearman’s correlation between distances from models at 1 MB resolution and those at 5 KB resolution of Hierarchical3DGenome and LorDG without domain partitioning. Chromosomes models generated by Hierarchical3DGenome is much more consistent with models at 1 MB resolution that the models generated by LorDG without domain partioning.