Solving dynamical inverse problems by means of Metabolic P systems
Biosystems, ISSN: 0303-2647, Vol: 109, Issue: 1, Page: 78-86
2012
- 17Citations
- 10Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations17
- Citation Indexes17
- CrossRef17
- 17
- Captures10
- Readers10
- 10
Article Description
MP (Metabolic P) systems are a class of P systems introduced for modelling metabolic processes. We refer to the dynamical inverse problem as the problem of identifying (discrete) mathematical models exhibiting an observed dynamics. In this paper, we complete the definition of the algorithm LGSS (Log-gain Stoichiometric Stepwise regression) introduced in Manca and Marchetti (2011) for solving a general class of dynamical inverse problems. To this aim, we develop a reformulation of the classical stepwise regression in the context of MP systems. We conclude with a short review of two applications of LGSS for discovering the internal regulation logic of two phenomena relevant in systems biology.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0303264712000032; http://dx.doi.org/10.1016/j.biosystems.2011.12.006; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84861818200&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/22261639; https://linkinghub.elsevier.com/retrieve/pii/S0303264712000032; https://dx.doi.org/10.1016/j.biosystems.2011.12.006
Elsevier BV
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