Table 1.

Feature ranking using (a) the correlation coefficient between input features and efficacy (), (b) mutual information feature selection (MIFS) with β = 0.75, (c) SVM-based Recursive Feature Elimination (SVM-RFE), and (d) best selection in [21] using the correlation coefficient.

	FEATURE		FEATURE	MI (β = 0.75)	FEATURE	SVM-RFE ||W||2	FEATURE	in [21]
1	ΔG	-0.35	ΔG	0.094	ΔH	0.680	GGGA	0.26
2	# Cytosine	0.31	# Cytosine	0.089	ΔS	0.671	# Cytosine	0.23
3	TCCC	0.28	%GC content	0.077	ΔG	0.193	ΔH	-0.19
4	5pΔG	-0.26	ΔG/length	0.075	# Cytosine	0.045	ΔG	-0.18
5	ΔH	-0.24	ΔH	0.064	Hairpin quality	0.035	CAGT	-0.18
6	ΔH/length	-0.22	ΔH/length	0.061	# Adenine	0.024	AGAG	0.18
7	%GC content	0.22	ΔS	0.060	# Thymine	0.018	GTGG	0.17
8	CCCT	0.21	# Adenine	0.043	Hairpin length	0.014	# Guanine	-0.15
9	CCAC	0.21	# Guanine	0.042	5pΔG	0.009	3pΔG	0.14
10	CCCC	0.21	5pΔG	0.040	3pΔG	0.005	ΔS	-0.14
11	CTCT	0.20	Hairpin quality	0.027	Dimer	0.004	CCCC	-0.13
12	CCCA	0.20	Hairpin length	0.024	Hairpin energy (Mfold)	0.003	Hairpin quality	-0.11
13	ACAC	-0.16	Hairpin Energy	0.022	# Guanine	0.001	%GC content	0.11
14	# Adenine	-0.16	# Thymine	0.016	Hairpin energy (vienna)	0.000	TGGC	-0.10