ncRNA-disease association prediction based on sequence information and tripartite network

BMC Systems Biology

Table 4 Comparison of l-gram-string kernel in terms of average Area Under the Curve (AUC) values

		l = 1	l = 2	l = 3	l = 4
Chen et al.(2013)	AUC	0.7507	0.7506	0.7513	0.7433
Chen et al.(2013)	Cut link AUC	0.5706	0.5644	0.5713	0.5476
Helwak et al.(2013)	AUC	0.8543	0.7855	0.7338	0.7080
Helwak et al.(2013)	Cut link AUC	0.7744	0.7098	0.6430	0.6441

The performance of the l-gram-string kernel for l = 1, 2, 3 and 4 was examined using the AUC metric. The computation was done using the RBF kernel. Table also shows the prediction performance when the links between a disease and their associated ncRNAs are deleted (Cut link UAC). Italic numbers indicate the best performance

ISSN: 1752-0509