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Table 8 The top 10 candidate circRNAs identified by GDCL-NcDA for (1) cervical cancer and (2) breast cancer

From: GDCL-NcDA: identifying non-coding RNA-disease associations via contrastive learning between deep graph learning and deep matrix factorization

Ranking

circRNAs of (1)

Evidence

1

hsa\(\_\)circ\(\_\)0002113

â‘£

2

hsa\(\_\)circ\(\_\)0061893

Unconfirmed

3

hsa\(\_\)circ\(\_\)0004771

â‘¢/â‘£

4

hsa\(\_\)circ\(\_\)0043138

â‘£

5

hsa\(\_\)circ\(\_\)101396

Unconfirmed

6

hsa\(\_\)circ\(\_\)103783

Unconfirmed

7

hsa\(\_\)circ\(\_\)102533

Unconfirmed

8

hsa\(\_\)circ\(\_\)102470

Unconfirmed

9

hsa\(\_\)circ\(\_\)0023984

â‘£

10

hsa\(\_\)circ\(\_\)0007534

③/⑤

Ranking

circRNAs of (2)

Evidence

1

hsa\(\_\)circ\(\_\)0000064

Unconfirmed

2

hsa\(\_\)circ\(\_\)0014717

â‘£

3

hsa\(\_\)circ\(\_\)102231

Unconfirmed

4

hsa\(\_\)circ\(\_\)103595

Unconfirmed

5

hsa\(\_\)circ\(\_\)104964

Unconfirmed

6

hsa\(\_\)circ\(\_\)0000615

③/④/⑤

7

hsa\(\_\)circ\(\_\)0030045

â‘£

8

hsa\(\_\)circ\(\_\)001937

Unconfirmed

9

hsa\(\_\)circ\(\_\)0001417

â‘£

10

hsa\(\_\)circ\(\_\)100290

â‘£