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Table 1 Summary of the networks we generated for each drug and diseases using different centrality measures

From: Prediction of novel drug indications using network driven biological data prioritization and integration

Drug-gene networks

    

Name

Source

Size

Number of links

Centraility measure

TxtNet-DrugExt-D

Text mining

2343x406

14375

Degree

TxtNet-DrugExt-B

Text mining

2343x406

21443

Betweenness

TxtNet-DrugExt-C

Text mining

2343x406

19890

Closeness

MirNet-DrugExt-D

Microarray

2343x406

29289

Degree

MirNet-DrugExt-B

Microarray

2343x406

34520

Betweenness

MirNet-DrugExt-C

Microarray

2343x406

15350

Closeness

Disease-gene networks

    

TxtNet-DrugExt-D

Text mining

2343x22

2297

Degree

TxtNet-DrugExt-B

Text mining

2343x22

2471

Betweenness

TxtNet-DrugExt-C

Text mining

2343x22

1199

Closeness

MirNet-DrugExt-D

Microarray

2343x22

1956

Degree

MirNet-DrugExt-B

Microarray

2343x22

1885

Betweenness

MirNet-DrugExt-C

Microarray

2343x22

1062

Closeness