Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Fages, Francois"'
Autor:
Buscemi, Hugo, Fages, François
Publikováno v:
Proc. 22nd International Conference on Computational Methods in Systems Biology, CMSB 2024., Sep 2024, Pisa (IT), Italy
Complex systems can be advantageously modeled by formal reaction systems (RS), a.k.a. chemical reaction networks in chemistry. Reaction-based models can indeed be interpreted in a hierarchy of semantics, depending on the question at hand, most notabl
Externí odkaz:
http://arxiv.org/abs/2406.18126
Autor:
Fages, François
Constraint logic programming emerged in the late 80's as a highly declarative class of programming languages based on first-order logic and theories with decidable constraint languages, thereby subsuming Prolog restricted to equality constraints over
Externí odkaz:
http://arxiv.org/abs/2402.17286
Autor:
Hemery, Mathieu, Fages, François
The Turing completeness of continuous Chemical Reaction Networks (CRNs) states that any computable real function can be computed by a continuous CRN on a finite set of molecular species, possibly restricted to elementary reactions, i.e. with at most
Externí odkaz:
http://arxiv.org/abs/2310.14721
Autor:
Greugny, Eléa Thibault, Fages, François, Radulescu, Ovidiu, Szmolyan, Peter, Stamatas, Georgios
The skin microbiome plays an important role in the maintenance of a healthy skin. It is an ecosystem, composed of several species, competing for resources and interacting with the skin cells. Imbalance in the cutaneous microbiome, also called dysbios
Externí odkaz:
http://arxiv.org/abs/2310.15201
Autor:
Hemery, Mathieu, Fages, François
The online estimation of the derivative of an input signal is widespread in control theory and engineering. In the realm of chemical reaction networks (CRN), this raises however a number of specific issues on the different ways to achieve it. A CRN p
Externí odkaz:
http://arxiv.org/abs/2307.04397
Discovering interpretable patterns for classification of sequential data is of key importance for a variety of fields, ranging from genomics to fraud detection or more generally interpretable decision-making. In this paper, we propose a novel differe
Externí odkaz:
http://arxiv.org/abs/2302.11286
Inferring chemical reaction networks (CRN) from concentration time series is a challenge encouragedby the growing availability of quantitative temporal data at the cellular level. This motivates thedesign of algorithms to infer the preponderant react
Externí odkaz:
http://arxiv.org/abs/2209.03185
Publikováno v:
Int. Conf. Computational Methods in Systems Biology, Sep 2022, Bucarest, Romania
The skin microbiome plays an important role in the maintenance of a healthy skin. It is an ecosystem, composed of several species, competing for resources and interacting with the skin cells. Imbalance in the cutaneous microbiome, also called dysbios
Externí odkaz:
http://arxiv.org/abs/2206.10221
Autor:
Hemery, Mathieu, Fages, François
Publikováno v:
Proc. Int. Conf. Computational Methods for Systems Biology CMSB'22, Sep 2022, Bucarest, Romania
The Turing completeness of continuous chemical reaction networks (CRNs) states that any computable real function can be computed by a continuous CRN on a finite set of molecular species, possibly restricted to elementary reactions, i.e. with at most
Externí odkaz:
http://arxiv.org/abs/2206.09624
Autor:
Hemery, Mathieu, Fages, François
Publikováno v:
In Theoretical Computer Science 12 April 2024 991