TABLE 1.

Categories and corresponding models of lncRNA functional similarity calculation.

		Output
Input data	Models	data	Description
lncRNA interactions	IntNetLncSim, LFSCM	Values of lncRNA functional similarity	IntNetLncSim integrated four RNA interaction network data to represent lncRNAs as vectors, LFSCM integrated lncRNA-miRNA interaction and miRNA functional similarity information
lncRNA-disease association	LNCSIM, ILNCSIM, FMLNCSIM	Values of lncRNA functional similarity	These three models were all based on the lncRNA-disease association information and the directed acyclic graph structure of disease terminology
lncRNA expression profiles	IRWRLDA, PLNRGO	Values of lncRNA functional similarity	IRWRLDA utilized spearman correlation coefficient analysis between lncRNA expression profiles, PLNRGO exploited the Pearson correlation coefficient between lncRNA expression profiles
All of above data	IHNLncSim (Our method)	Values of lncRNA functional similarity, Graphical visualization	IHNLncSim exploited the AUC of four single networks as the weight and calculated the weighted average of miRNA-based lncRNA similarity network data, disease-based lncRNA similarity network data and two expression-based network data.