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Table 1 The first and second columns show each subset of drug features and the number of drugs which these features are available in the database, respectively. The third column indicates the number of drug-disease associations where the features are available in the database and the fourth one identifies the number of unknown drug-disease associations

From: The assessment of efficient representation of drug features using deep learning for drug repositioning

Subset E

No. of Drugs

No. of drug associations (\( \mathcal{A} \))

No. of unknown drug-disease association

Avg. of AUC

AUC

{s}

4240

13,916

25,235,284

0.942

0.944

{g}

729

6175

4,335,020

0.894

0.888

{e}

671

10,950

3,984,855

0.927

0.926

{p}

6233

16,846

37,100,669

0.942

0.943

{g,s}

729

6175

4,335,020

0.936

0.933

{e,s}

471

8398

2,796,407

0.870

0.871

{s,p}

3226

13,159

19,197,671

0.941

0.941

{e,g}

155

4065

918,960

0.856

0.844

{g,p}

337

5928

2,000,907

0.857

0.864

{e,p}

600

10,305

3,562,695

0.909

0.906

{e,g,s}

155

4065

918,960

0.849

0.848

{g,p,s}

337

5928

2,000,907

0.876

0.877

{g,p,e}

146

3944

865,486

0.834

0.844

{e,p,s}

440

8162

2,612,038

0.868

0.870

{s,e,g,p}

146

3944

865,486

0.840

0.846