Table 4.

Performances of different tools on zebrafish and chicken data sets

Methods	Zebrafish (Danio rerio)					Chicken (Gallus gallus)
	Sensitivity	Specificity	Accuracy	F-measure	Kappa	Sensitivity	Specificity	Accuracy	F-measure	Kappa
CPC	0.6728	NA	NA	NA	NA	0.5784	0.9888	0.7836	0.7277	0.5671
CPAT	0.8668	0.8660	0.8664	0.8663	0.7328	0.9189	0.9178	0.9183	0.9183	0.8366
CNCI	0.8535	0.8728	0.8631	0.8618	0.7263	0.9128	0.9051	0.9089	0.9093	0.8179
PLEK	0.8715	0.8255	0.8485	0.8519	0.6970	0.9346	0.9124	0.9235	0.9244	0.8740
CPC2	0.8948	0.7835	0.8391	0.8476	0.6783	0.7650	0.9235	0.8443	0.8308	0.6885
LncFinder	0.8815	0.8838	0.8826	0.8825	0.7653	0.9491	0.9321	0.9406	0.9411	0.8813

Bold numbers indicate the highest value. LncFinder has the best performance. In our test, CPC could not process the protein-coding transcripts of zebrafish; thus, only the result of lncRNAs is obtained.