Table 3.

Target recognition by ‘classical’ (a) and machine learning-based (b) detection algorithms on the downregulated transcripts in time-resolved microarray experiments and on the validated miR-17 targets (c).

(a)
		Positives, % of all experimentally downregulated genes
miRNA	Time point	microT-CDS	miRmap	miRTar	TargetScan	Seed sequence presence, %
hsa-miR-17-5p	12 h	51.4	88.6	34.3	57.1	77.1
	24 h	31.7	70.7	26.8	31.7	68.3
	48 h	23.3	48.8	16.3	18.6	65.1
hsa-miR-517a-3p	12 h	29.3	57.7	8.9	37.3	23.6
	24 h	16	31.6	6.6	20.4	20.2
	48 h	6.2	13.9	3.3	8.7	4.6
hsa-miR-135b-5p	12 h	59.5	66.7	26.2	35.7	69
	24 h	62.8	72.1	23.3	29.1	69.8
	36 h	49.5	53.8	17.2	18.3	38.7
(b)
		Positives, %
miRNA	Time point	MirTarget3			miRNATip	TarPmiR
hsa-miR-17-5p	12 h	54.3			88.6	60
	24 h	36.6			75.6	40
	48 h	16.3			53.5	41.5
hsa-miR-517a-3p	12 h	11.4			54.5	22
	24 h	5.4			36.8	16.5
	48 h	1.8			22.4	14.3
hsa-miR-135b-5p	12 h	31			57.1	19
	24 h	31.4			61.6	22.1
	36 h	19.4			52.2	27.4
(c)
Algorithm		Positives, % of validated miR-17 targets
microT-CDS		59.5
miRmap		88.1
miRTar		26.2
TargetScan		50
MirTarget3		45.2
miRNATip		83.3
TarPMiR		64.3