Exhaustive identification of steady state cycles in large stoichiometric networks.
about
Applications of genome-scale metabolic reconstructions.The Systems Biology Research Tool: evolvable open-source softwareParameter inference for discretely observed stochastic kinetic models using stochastic gradient descent.Network-based scoring system for genome-scale metabolic reconstructionsCounting and correcting thermodynamically infeasible flux cycles in genome-scale metabolic networks.Conservation of high-flux backbone in alternate optimal and near-optimal flux distributions of metabolic networks.CycleFreeFlux: efficient removal of thermodynamically infeasible loops from flux distributions.
P2860
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P2860
Exhaustive identification of steady state cycles in large stoichiometric networks.
description
2008 nî lūn-bûn
@nan
2008 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Exhaustive identification of steady state cycles in large stoichiometric networks.
@ast
Exhaustive identification of steady state cycles in large stoichiometric networks.
@en
type
label
Exhaustive identification of steady state cycles in large stoichiometric networks.
@ast
Exhaustive identification of steady state cycles in large stoichiometric networks.
@en
prefLabel
Exhaustive identification of steady state cycles in large stoichiometric networks.
@ast
Exhaustive identification of steady state cycles in large stoichiometric networks.
@en
P2860
P356
P1433
P1476
Exhaustive identification of steady state cycles in large stoichiometric networks.
@en
P2093
Andreas Wagner
Jeremiah Wright
P2860
P2888
P356
10.1186/1752-0509-2-61
P577
2008-07-11T00:00:00Z
P5875
P6179
1038806368