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Table 2 Parameter estimates of γ and logα in the outgoing degree distribution model.

From: Structural comparison of metabolic networks in selected single cell organisms

 

R2

γ, 95% C.I.

logα, 95% C.I.

S. cerevisiae(748)

0.96

-0.39, [-0.46, -0.31]

2.53, [2.29, 2.78]

E. coli(893)

0.92

-0.36, [-0.43, -0.28]

2.51, [2.29. 2.74]

V. cholerae(738)

0.91

-0.36, [-0.44, -0.28]

2.45, [2.22, 2.68]

R. solanacearum(864)

0.96

-0.37, [-0.43, -0.31]

2.50, [2.32, 2.68]

B. subtilis(787)

0.92

-0.36, [-0.44, -0.28]

2.46, [2.23, 2.68]

L. lactis(545)

0.95

-0.38, [-0.45, -0.31]

2.39, [2.20, 2.58]

S. coelicolor(814)

0.95

-0.36, [-0.43, 0.30]

2.47, [2.29, 2.65]

S. solfataricus(586)

0.92

-0.33, [-0.43, -0.23]

2.17, [1.86, 2.49]

S. tokodaii(445)

0.94

-0.34, [-0.42, -0.25]

2.15, [1.88, 2.42]

T. acidophilum(458)

0.97

-0.37, [-0.44, -0.31]

2.25, [2.05, 2.45]

M. acetivorans(489)

0.86

-0.33, [-0.46, -0.20]

2.13, [1.73, 2.53]

  1. Model: log P(K i ) = γ log(K i ) + log(α) + ε i (i = 1,2,...,n). Parameters are estimated using Least Square Method.
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BMC Bioinformatics

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