David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Acta Biotheoretica (forthcoming)
We give in this paper indications about the dynamical impact (as phenotypic changes) coming from the main sources of perturbation in biological regulatory networks. First, we define the boundary of the interaction graph expressing the regulations between the main elements of the network (genes, proteins, metabolites, ...). Then, we search what changes in the state values on the boundary could cause some changes of states in the core of the system (robustness to boundary conditions). After, we analyse the role of the mode of updating (sequential, block sequential or parallel) on the asymptotics of the network, essentially on the occurrence of limit cycles (robustness to updating methods). Finally, we show the influence of some topological changes (e.g. suppression or addition of interactions) on the dynamical behaviour of the system (robustness to topology perturbations).
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Brian Skyrms (2007). Dynamic Networks and the Stag Hunt: Some Robustness Considerations. Biological Theory 2 (1):7-9.
Jacob Stegenga (2009). Robustness, Discordance, and Relevance. Philosophy of Science 76 (5):650-661.
Brett Calcott (2011). Wimsatt and the Robustness Family: Review of Wimsatt's Re-Engineering Philosophy for Limited Beings. [REVIEW] Biology and Philosophy 26 (2):281-293.
Elisabeth A. Lloyd (2010). Conﬁrmation and Robustness of Climate Models. Philosophy of Science 77 (5):971–984.
J. Kuorikoski, A. Lehtinen & C. Marchionni (2010). Economic Modelling as Robustness Analysis. British Journal for the Philosophy of Science 61 (3):541-567.
Ehud Lamm (2009). Conceptual and Methodological Biases in Network Models. Annals of the New York Academy of Sciences 1178:291-304.
J. Demongeot, D. Benaouda, O. Nérot & C. Jézéquel (1994). Random Simulation and Confiners: Their Application to Neural Networks. Acta Biotheoretica 42 (2-3).
David Danks, Clark Glymour & Peter Spirtes (2003). The Computational and Experimental Complexity of Gene Perturbations for Regulatory Network Search. In W. H. Hsu, R. Joehanes & C. D. Page (eds.), Proceedings of IJCAI-2003 workshop on learning graphical models for computational genomics.
Jim Woodward (2006). Some Varieties of Robustness. Journal of Economic Methodology 13 (2):219-240.
Added to index2009-01-28
Total downloads13 ( #119,349 of 1,098,834 )
Recent downloads (6 months)1 ( #286,682 of 1,098,834 )
How can I increase my downloads?