Table 3

Parameter estimates of α and γ in the incoming degree distribution model.

R²

γ, 95% C.I.

logα, 95% C.I.

S. cerevisiae (748)

0.95

-0.35, [-0.42, -0.29]

2.38, [2.18, 2.59]

E. coli (893)

0.90

-0.35, [-0.42, -0.28]

2.50, [2.29, 2.70]

V. cholerae (738)

0.91

-0.36, [-0.44,-0.28]

2.45, [2.22, 2.68]

R. solanacearum (864)

0.96

-0.37, [-0.42, -0.31]

2.50, [2.32, 2.68]

B. subtilis (787)

0.92

-0.36, [-0.43, -0.28]

2.46, [2.23, 2.68]

L. lactis (545)

0.95

-0.38, [-0.45, -0.31]

2.40, [2.20, 2.58]

S. coelicolor (814)

0.95

-0.36, [-0.43, -0.30]

2.47, [2.29, 2.65]

S. solfataricus (586)

0.45

-0.24, [-0.41, -0.07]

2.21, [1.76, 2.68]

S. tokodaii (445)

0.46

-0.25, [-0.42, -0.08]

2.21, [1.76, 2.65]

T. acidophilum (458)

0.89

-0.30, [-0.41, -0.20]

2.00, [1.69, 2.32]

M. acetivorans (489)

0.46

-0.25, [-0.43, -0.08]

2.20, [1.75, 2.65]

Model: log P(K_i) = γ log(K_i) + log(α) + ε_i (i = 1,2,...,n). Parameters are estimated using Least Square Method.

Zhu and Qin BMC Bioinformatics 2005 6:8   doi:10.1186/1471-2105-6-8