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Table 2 AUPRC 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

0.6332

0.7342

0.6074

NIMCGCN

0.8611

0.9094

0.8771

MMGCN

0.9159

0.9622

0.9053

DMFCDA

0.8632

0.8868

0.8228

DMFMSF

0.9366

0.9448

0.9471

CKA-HGRTMF

0.8712

0.9173

0.8017

MHDMF

0.9452

0.9783

0.9537

GDCL-NcDA

0.9806

0.9890

0.9515

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BMC Genomics

ISSN: 1471-2164

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