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Table 2 Features for representing synthetic interaction

From: A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network

 

Gene pair characteristic

Reference

Graph Type

1

Centrality degree

Barrat et al. (2004)

Weight

2

Clustering coefficient

Barrat et al. (2004).

Weight

3

Betweenness centrality

Brandes. (2001)

Weight

4

Closeness centrality

Newman. (2001)

Weight

5

Eigenvector centrality

Csardi G. (1965)

Weight

6

Stress centrality

Freeman LC. (1977)

Binary

7

Information centrality

Stephenson K. (1989)

Binary

8

Shortest path length

Newman. (2001)

Weight

9

Flow between centrality

Newman. (2001)

Binary

10

Mutual neighbor

Newman. (2001)

Binary