BMC Bioinformatics

Table 1 Effects of the parameter to the performance of FVTLDA_MLR in LOOCV

From: A novel computational model for predicting potential LncRNA-disease associations based on both direct and indirect features of LncRNA-disease pairs

Rate	0	0.1	0.2	0.3	0.4	0.5	0.6	0.7	0.8	0.9	1
AUC	0.89698	0.89699	0.89699	0.89701	0.89697	0.89695	0.89696	0.89697	0.89695	0.89694	0.89693
r₁	0	0.001	0.002	0.003	0.004	0.005	0.006	0.007	0.008	0.009	0.01
AUC	0.72933	0.89701	0.89694	0.89689	0.89678	0.89673	0.89671	0.89668	0.89665	0.8966	0.89647
r₂	0	0.001	0.002	0.003	0.004	0.005	0.006	0.007	0.008	0.009	0.01
AUC	0.79486	0.89701	0.897	0.89692	0.89692	0.89693	0.89692	0.89693	0.89684	0.8968	0.89647
k₁	0	0.001	0.002	0.003	0.004	0.005	0.006	0.007	0.008	0.009	0.01
AUC	0.89699	0.89701	0.897	0.897	0.89698	0.89695	0.89698	0.8967	0.89701	0.897	0.89699
k₂	0	0.001	0.002	0.003	0.004	0.005	0.006	0.007	0.008	0.009	0.01
AUC	0.89698	0.89699	0.897	0.89699	0.897	0.897	0.897	0.89701	0.89699	0.89697	0.89698

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ISSN: 1471-2105

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