Table 1 Comparison of performance between different structure learning algorithms using synthetic dataset (Ce: Correctly infered edges; P: Precision; R: Recall)
From: Learning the structure of gene regulatory networks from time series gene expression data
| Â | Nir Friedman | Nir Friedman + Zou&Conzon | Kevin Murphy + Zou&Conzon | Zou&Conzon | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Network Size | Ce | P | R | Ce | P | R | Ce | P | R | Ce | P | R |
10 | 5 | 0.50 | 0.29 | 3 | 0.60 | 0.27 | 3 | 0.30 | 0.18 | 6 | 0.38 | 0.04 |
20 | 7 | 0.15 | 0.17 | 3 | 0.12 | 0.08 | 3 | 0.10 | 0.08 | 9 | 0.09 | 0.23 |
50 | 38 | 0.23 | 0.36 | 6 | 0.09 | 0.06 | 8 | 0.12 | 0.07 | 14 | 0.04 | 0.14 |
100 | 38 | 0.10 | 0.22 | 25 | 0.14 | 0.14 | 8 | 0.07 | 0.05 | 48 | 0.02 | 0.26 |