BMC Bioinformatics

Table 7 Experimental results on the 20-gene network

From: Incorporating time-delays in S-System model for reverse engineering genetic networks

	Conf-4 (No-delay network)
	0% Noise				5% Noise				10% Noise				25% Noise
	S _n	S _p	P _r	F	S _n	S _p	P _r	F	S _n	S _p	P _r	F	S _n	S _p	P _r	F
TDSS (Best)	1.00	1.00	1.00	1.00	1.00	1.00	1.00	1.00	0.98	0.91	0.60	0.74	0.91	0.90	0.53	0.67
TDSS	0.98 ±	0.97 ±	0.81 ±	0.88 ±	0.96 ±	0.90 ±	0.60 ±	0.72 ±	0.96 ±	0.90 ±	0.56 ±	0.71 ±	0.90 ±	0.87 ±	0.47 ±	0.62 ±
(Average ±Std)	0.01	0.03	0.13	0.01	0.03	0.06	0.23	0.19	0.01	0.01	0.02	0.02	0.01	0.01	0.03	0.03
ALG [34]	0.98	0.85	0.47	0.63	0.98	0.84	0.44	0.61	0.85	0.90	0.54	0.69	0.87	0.86	0.44	0.58
REGARD [19]	0.98	0.90	0.56	0.71	0.98	0.87	0.49	0.65	0.96	0.86	0.56	0.70	0.89	0.87	0.47	0.61
DPSO-L1^*[50]	0.93	1.00	1.00	0.90	-	-	-	-	0.71	1.00	1.00	0.61	-	-	-	-
BANJO [43]	0.67	0.85	0.35	0.46	0.62	0.79	0.27	0.38	0.56	0.75	0.22	0.31	0.44	0.70	0.16	0.24
BITGRN2 [42]	0.70	0.85	0.40	0.50	0.60	0.85	0.38	0.45	0.55	0.84	0.30	0.40	-	-	-	-
	Conf-5(Delayed network)
	0% Noise				5% Noise				10% Noise				25% Noise
	S _n	S _p	P _r	F	S _n	S _p	P _r	F	S _n	S _p	P _r	F	S _n	S _p	P _r	F
TDSS (Best)	1.00	0.96	0.73	0.84	0.98	0.96	0.73	0.89	0.96	0.90	0.56	0.67	0.93	0.89	0.51	0.66
TDSS	0.96 ±	0.95 ±	0.72 ±	0.82 ±	0.96 ±	0.92 ±	0.61 ±	0.75 ±	0.95 ±	0.88 ±	0.51 ±	0.66 ±	0.92 ±	0.89 ±	0.50 ±	0.65 ±
(Average ±Std)	0.02	0.01	0.07	0.04	0.02	0.01	0.01	0.01	0.01	0.01	0.03	0.03	0.01	0.01	0.01	0.01
ALG [34]	0.89	0.85	0.43	0.58	0.87	0.87	0.46	0.60	0.83	0.81	0.45	0.60	0.78	0.79	0.37	0.51
REGARD [19]	0.91	0.88	0.48	0.63	0.91	0.87	0.48	0.63	0.87	0.80	0.47	0.61	0.77	0.75	0.41	0.57
BANJO [43]	0.60	0.79	0.26	0.36	0.56	0.73	0.21	0.30	0.49	0.70	0.17	0.26	0.44	0.69	0.15	0.23

^*Calculated from average result reported in the paper.

Back to article page

ISSN: 1471-2105

Contact us

General enquiries: journalsubmissions@springernature.com