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Table 1 AUC of GDCL-NcDA and seven comparison methods under the 5CV

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

Methods

miRNA

circRNA

lncRNA

MDA-SKF

0.9068

0.9661

0.9222

NIMCGCN

0.8959

0.8891

0.8612

MMGCN

0.9063

0.9578

0.8788

DMFCDA

0.8519

0.8629

0.8044

DMFMSF

0.9247

0.9397

0.9292

CKA-HGRTMF

0.9675

0.9732

0.9185

MHDMF

0.9240

0.9434

0.9314

GDCL-NcDA

0.9761

0.9849

0.9382

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BMC Genomics

ISSN: 1471-2164

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