Boolean networks using the chi-square test for inferring large-scale gene regulatory networks

BMC Bioinformatics

Table 4 Result of variable selection with 8 genes

First step			Second step
j th gene(t)	i th gene(t - 1)	p-value	h th gene(t - 1)	p-value1	p-value2	combinations
G1	G1	0.0013	G5	0.0185	0.0252	₄C₂ = 6
			G6	0.0191	0.033
			G7	0.0059	0.0656
			G8	0.1049	0.0192
	G3	0.0253	G2	0.0059	0.0208	₆C₂ = 15
			G4	0.0208	0.0059
			G5	0.0185	0.0071
			G6	0.0191	0.0058
			G7	0.0414	0.0035
			G8	0.1049	0.0021
G3	G1	0.0013	G2	0.0065	0.0835	₆C₂ = 15
			G4	0.0035	0.1165
			G5	0.0185	0.0252
			G6	0.0033	0.1016
			G7	0.033	0.0191
			G8	0.1049	0.0192
	G3	0.0078	G5	0.0185	0.1443	1
G7	G4	0.0078	G1	0.0102	0.2063	₅C₂ = 10
			G2	0.4774	0.0033
			G3	0.0059	0.3535
			G5	0.5469	0.0071
			G8	0.0143	0.4864
Total number of combinations						47

ISSN: 1471-2105