Table 1 A rough introduction to other algorithms
Algorithm | Network topology | Biological information |
|---|---|---|
DC [16] | Degree Centrality | No |
IC [17] | Information Centrality | No |
EC [18] | Eigenvector Centrality | No |
SC [19] | Subgraph Centrality | No |
BC [20] | Betweenness Centrality | No |
CC [21] | Closeness Centrality | No |
NC [22] | Neighbor Centrality | No |
Pec [25] | Edge clustering coefficient | Gene expression data |
CoEWC [26] | Clustering coefficient | Gene expression data |
POEM [22] | Degree Centrality, subgraph Edge clustering coefficient, closeness Centrality | Gene expression data |
ION [38] | Edge clustering coefficient | Orthologous data |
CVIM [43] | Average triangle, neighbor average triangle | Orthologous data, gene expression data |
TEGS [34] | Edge clustering coefficient | Gene Ontology, subcellular localization Gene expression data |