Modeling genetic regulatory interactions is an important issue in systems biology. Probabilistic Boolean networks (PBNs) have been proved to be a useful tool for the task. The steady-state probability distribution of a PBN gives important information about the captured genetic network. The computati
โฆ LIBER โฆ
SMISS, stoichiometric matrix inversion for steady state metabolic networks
โ Scribed by David J.M. Park
- Publisher
- Elsevier Science
- Year
- 1975
- Weight
- 638 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0010-468X
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โฆ Synopsis
A program is described for the reduction of the stoichiometric matrices associated with steady state metabolic networks. The program generates a set of independent and dependent reactions and gives the dependent reactions as functions of the independent reactions. The program can also be used to generate all possible alternative sets of independent reactions.
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2011
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Elsevier Science
๐
English
โ 225 KB