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Table 6 Performance of GDCL-NcDA on different MHNs

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

Networks

AUC

AUPRC

miRNA-disease

0.9357

0.9561

miRNA-gene-disease

0.9761

0.9806

circRNA-disease

0.9455

0.9508

circRNA-gene-disease

0.9849

0.9890

lncRNA-disease

0.8983

0.9079

lncRNA-gene-disease

0.9382

0.9515

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BMC Genomics

ISSN: 1471-2164

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