From: Predicting links between tumor samples and genes using 2-Layered graph based diffusion approach
Method | AUC-ROC | AUC-PR |
---|---|---|
Common neighbor approach (CN) | 0.72 | 0.0382 |
Jaccard similarity (JS) | 0.76 | 0.0549 |
Preferential attachment (PA) | 0.73 | 0.0428 |
Resource allocation (RA) | 0.78 | 0.0612 |
Adamic adar index (AAI) | 0.79 | 0.0645 |
Katz (STRING) α=0.15,β=0.0001 | 0.54 | 0.0161 |
Katz (BioGRID) α=0.15,β=0.0001 | 0.72 | 0.0311 |
Personalized pageRank algorithm (PPR) (STRING) | 0.81 | 0.0523 |
Personalized PageRank algorithm (PPR) (BioGRID) | 0.81 | 0.0543 |
Heat diffusion algorithm (HD) (STRING) | 0.85 | 0.0823 |
Heat diffusion algorithm (HD) (BioGRID) | 0.74 | 0.0321 |
Random baseline (RB) | 0.5 | 0.0125 |
Random network in layer 2 (RN) | 0.5 | 0.0012 |