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Table 4 AUPRC of GDCL-NcDA and seven comparison methods under the 10CV

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

0.6404

0.7349

0.6108

NIMCGCN

0.9388

0.9231

0.8997

MMGCN

0.9160

0.9601

0.9157

DMFCDA

0.8913

0.8919

0.8363

DMFMSF

0.9296

0.8855

0.8134

CKA-HGRTMF

0.8836

0.8147

0.8109

MHDMF

0.9713

0.9234

0.9550

GDCL-NcDA

0.9844

0.9880

0.9607

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BMC Genomics

ISSN: 1471-2164

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