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Titlebook: Computational Methods in Systems Biology; International Confer Vincent Danos,Vincent Schachter Conference proceedings 2005 Springer-Verlag

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發(fā)表于 2025-3-26 23:34:56 | 只看該作者
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發(fā)表于 2025-3-27 03:00:28 | 只看該作者
0302-9743 eries is to help catalyze the convergence between computer scientists interested in language design, concurrency theory, software engineering or program verification, and physicists, mathematicians and biologists interested in the systems-level understanding of cellular processes. Systems biology wa
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發(fā)表于 2025-3-27 15:45:15 | 只看該作者
https://doi.org/10.1007/978-3-540-70863-6 in rule and tree induction from codon usage of several organisms. It is shown that domain can be identified trough codon usage and a simple set of rules. Two methods were applied, . 2 and . 4.5. Obtained rules describe data better than other methods, in the sense that are topological interpretable and have phenomenological meaning.
36#
發(fā)表于 2025-3-27 20:35:57 | 只看該作者
https://doi.org/10.1007/978-3-540-70863-6n the natural analogy between biochemical networks and concurrent systems we argue that black box checking can be used to design and perform experiments in a systematic manner, and also to learn about the network underlying mechanisms. We also discuss potential applications with emphasis on forward engineering of biochemical networks.
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發(fā)表于 2025-3-28 01:22:33 | 只看該作者
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發(fā)表于 2025-3-28 05:40:31 | 只看該作者
The Biochemical Abstract Machine BIOCHAMor querying the temporal properties of the system under all its possible behaviors. We present the main features of Biocham, provide details on a simple example of the MAPK signaling cascade and prove some results on the equivalence of models w.r.t.?their temporal properties.
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發(fā)表于 2025-3-28 09:36:17 | 只看該作者
40#
發(fā)表于 2025-3-28 11:22:12 | 只看該作者
Black Box Checking for Biochemical Networksn the natural analogy between biochemical networks and concurrent systems we argue that black box checking can be used to design and perform experiments in a systematic manner, and also to learn about the network underlying mechanisms. We also discuss potential applications with emphasis on forward engineering of biochemical networks.
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