Table 1.

ROC scores of one transcriptomics and two proteomics datasets

Dataset		SVM	PITA	TScan	miRan	PITAT	TS_C	mirT2	PicTa
Linsley	All	0.81	0.76	0.75	0.55	0.60	0.61	0.63	0.58
	ROC10*n	0.0129	0.0018	0.0173	0.0105	0.0035	0.0170	0.0196	0.0113
	7m+C	0.73	0.61	0.69	0.43	0.57	0.59	0.67	0.57
Selback	All	0.64	0.61	0.61	0.52	0.55	0.55	0.54	0.53
	ROC10*n	0.0253	0.0042	0.0212	0.0079	0.0138	0.0213	0.0231	0.0210
	7m+C	0.71	0.61	0.69	0.42	0.60	0.63	0.60	0.58
Baek	All	0.56	0.56	0.56	0.51	0.52	0.53	0.52	0.52
	ROC10*n	0.0193	0.0046	0.0157	0.0081	0.0148	0.0174	0.0086	0.0131
	7m+C	0.59	0.60	0.62	0.44	0.56	0.61	0.54	0.54

Three benchmarks, All, ROC_10*n, 7m+C (7mer+Conservation), were performed on one transcripomics (Linsley) and two proteomics (Baek and Selback) datasets. The ROC scores were calculated for eight algorithms, SVM, PITA, TScan (TargetScan), miRan (miRanda), PITAT (PITA Top), TS_C (TargetScan with conserved genes), mirT2 (mirTarget2) and PicTa (PicTar)