Deep Learning-Assisted Repurposing of Plant Compounds for Treating Vascular Calcification: An In Silico Study with Experimental Validation

Table 1

The performance comparison with the state-of-the-art drug-disease association prediction methods.

Method tested
LRSSL [36]	0.202
SCMFDD-Chem [37]	0.303
SCMFDD-Domain [37]	0.309
SCMFDD-GO [37]	0.314
Fusion+RF [38]	0.580
Ours	0.724

GO: Gene Ontology; LRSSL: Laplacian regularized sparse subspace learning; RF: random forest; SCMFDD: similarity constrained matrix factorization method for the drug-disease association prediction.