International audienceThe main difficulty when modelling gene networks is the identification of the parameters that govern the dynamics. Here we present a new approach based on Hoare logic and weakest preconditions (a la Dijkstra) that generates constraints on the parameter values: Once proper specifications are extracted from biological traces, they play a role similar to programs in the classical Hoare logic. We firstly remind the discrete modelling for genetic networks defined by René Thomas. Then, we define the Hoare/Dijkstra method extended to gene networks, that extracts the weakest precondition on parameter values
Abstract. The behaviour of gene regulatory networks (GRNs) is typi-cally analysed using simulation-b...
International audienceRegulatory networks are at the core of all biological functions from bio-chemi...
The switch-like character of the dynamics of genetic regulatory networks has attracted much attentio...
International audienceThe main difficulty when modelling gene networks is the identification of the ...
International audienceWe present a new hybrid Hoare logic dedicated for a class of linear hybrid aut...
This document presents the tool named "Application of Hoare Logic and Dijkstra's Weakest Proposition...
International audienceDynamical modeling has proven useful for understanding how complex biological ...
Abstract — In this article, we propose a formal method to analyse gene regulatory networks (GRN). Th...
International audienceWe present a constraint based declarative approach for analyzing qualitatively...
Due to various complexities, as well as noise and high dimensionality, reconstructing a gene regulat...
International audienceBuilding a meaningful model of biological regulatory network is usually done b...
Introduction Genetic regulatory networks play a crucial role in the control of most developmental a...
Motivation: Modern experimental techniques for time-course measurement of gene expression enable the...
Abstract Regulatory networks are at the core of all biological functions from bio-chemical pathways ...
Gene regulatory networks are useful models for biologists to understand the interactions among gene...
Abstract. The behaviour of gene regulatory networks (GRNs) is typi-cally analysed using simulation-b...
International audienceRegulatory networks are at the core of all biological functions from bio-chemi...
The switch-like character of the dynamics of genetic regulatory networks has attracted much attentio...
International audienceThe main difficulty when modelling gene networks is the identification of the ...
International audienceWe present a new hybrid Hoare logic dedicated for a class of linear hybrid aut...
This document presents the tool named "Application of Hoare Logic and Dijkstra's Weakest Proposition...
International audienceDynamical modeling has proven useful for understanding how complex biological ...
Abstract — In this article, we propose a formal method to analyse gene regulatory networks (GRN). Th...
International audienceWe present a constraint based declarative approach for analyzing qualitatively...
Due to various complexities, as well as noise and high dimensionality, reconstructing a gene regulat...
International audienceBuilding a meaningful model of biological regulatory network is usually done b...
Introduction Genetic regulatory networks play a crucial role in the control of most developmental a...
Motivation: Modern experimental techniques for time-course measurement of gene expression enable the...
Abstract Regulatory networks are at the core of all biological functions from bio-chemical pathways ...
Gene regulatory networks are useful models for biologists to understand the interactions among gene...
Abstract. The behaviour of gene regulatory networks (GRNs) is typi-cally analysed using simulation-b...
International audienceRegulatory networks are at the core of all biological functions from bio-chemi...
The switch-like character of the dynamics of genetic regulatory networks has attracted much attentio...