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Table 3 number of known prostate cancer drug targets and its average position among different methods in top 1%, 3% and 15% of the candidate proteins list

From: A network flow approach to predict drug targets from microarray data, disease genes and interactome network - case study on prostate cancer

 

Top 1%

Top 3%

Top 15%

Method

AP

Number

AP

Number

AP

Number

t-test

N/A

0

N/A

0

N/A

0

Degree

2.5

2

3.33

3

9.4

5

Betweeness

2

1

5.67

3

13.5

4

Closeness

2

1

2

1

23

5

Random walk

2

1

9

1

20.6

5

Entropy

2.5

2

4

3

11.2

5

Our Method

2

2

2.67

3

18

6