Table 6 Comparisons of different methods in identifying SARS-CoV-2-associated pathways
Methods used | Number of identified pathways | |
|---|---|---|
Level-1 | Level-2 | |
Machine learning [5] | 7 | Not applicable |
Unsupervised machine learning [7] | 95 | Not applicable |
Receiver operating characteristic (ROC) curve analysis [8] | 165 | Not applicable |
Network topological ananlysis [9] | 3 | Not applicable |
Random walk with restart (RWR) [12] | 148 | Not applicable |
Statistical R-packages (DESeq2 and edgeR) [31] | 42 | Not applicable |
2-Level-PPI-graph coloring (this research work) | 38 | 112 |