BMC Bioinformatics

Table 2 Performance comparisons between CFNBC and some state-of-the-art models in terms of AUCs based on the different data sets of known lncRNA-disease association in the framework of the LOOCV

From: A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier

Methods	AUCs	Methods	AUCs
CFNBC	0.8674	CFNBC	0.8576
HGLDA	0.7621	NBCLDA	0.8519
CFNBC	0.8579	CFNBC	0.8915
SIMLDA	0.8526	Yang et al.’s method	0.8568

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ISSN: 1471-2105

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