Method
|
Enriched Clusters
|
# NEC
|
% NEC
|
# NEC S
|
% NEC S
|
---|
PPI
|
252/510 (49.41%)
|
4540.0
|
29.96%
|
2301.0
|
15.18%
|
6.0
|
268/543 (49.36%)
|
6632.0
|
43.84%
|
2453.0
|
16.21%
|
6.5
|
286/543 (52.67%)
|
7085.0
|
46.83%
|
2918.0
|
19.29%
|
7.0
|
269/537 (50.09%)
|
7485.0
|
49.47%
|
3092.0
|
20.44%
|
7.5
|
272/552 (49.28%)
|
7243.0
|
47.87%
|
3073.0
|
20.31%
|
8.0
|
268/491 (54.58%)
|
7689.0
|
50.82%
|
3208.0
|
21.20%
|
- We calculate %NEC in two settings: %NEC is enrichment in the GO hierarchy with terms above the fifth level filtered out, and %NEC S uses the same filtered GO hierarchy, but then only gives a node credit if there is a match between one of the node’s labels and one of the terms for which there is GO enrichment for the cluster. By both of the NEC statistics, at every DSD threshold, detangling with DSD performs better
- Bolded values represent the best values achieved for the %NEC and %NEC S statistics comparing the PPI network and different DSD detangling thresholds