BMC Bioinformatics

Table 6 SNF-NN performance comparison with state-of-the-art models for drug-disease interaction prediction on the LRSSL benchmark dataset

From: SNF-NN: computational method to predict drug-disease interactions using similarity network fusion and neural networks

Year	Method	AUC-ROC	AUC-PR
2013	KBMF [59]	0.648	0.130
2016	NRLMF [24]	0.872	0.326
2016	MBiRW [17]	0.816	0.167
2018	DRRS [23]	0.794	0.073
2018	SCMFDD [25]	0.724	0.032
2019	DisDrugPred [26]	0.872	0.278
2020	DRIMC [27]	0.908	0.336
2020	SNF-NN	0.936	0.903

The best value of each evaluation metric is shown in bold

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ISSN: 1471-2105

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