The continuous parts of complex biological systems are often modeled by use of Ordinary Differential Equations (ODE). When experimental data are available, they usually have large variability, for example due to variability in cell cultures. Since data on a given system are scarce, one generally uses data from different cell types, different organisms, or different conditions. All this translates into large paramete
A network facilitates the description of selective interactions among the variables of a system. In ...
Computational analysis of biological systems aims to predict cell behavior under different environme...
<p>The contributors to iron metabolism include TfR1, TfR2, Tf and HFE. These molecules work together...
The continuous parts of complex biological systems are often modeled by use of Ordinary Differential...
International audienceThis paper presents a method for modeling biological systems which combines fo...
Iron is critical to the survival of almost all living organisms. However, inappropriately low or hig...
Les travaux de cette thèse portent principalement sur le développement d'une méthodologie pour la mo...
The major part of this PhD consists in the creation of a methodology to model biological systems. Th...
The understanding of biological systems and processes requires the development of dynamical models c...
Mathematical models that combine predictive accuracy with explanatory power are central to the progr...
Iron is essential for all known life due to its redox properties; however, these same properties can...
The robustness of a biochemical network can be inferred mathematically from its architecture. M athe...
BACKGROUND: Every cell of the mammalian organism needs iron in numerous oxido-reductive processes as...
Systems biology aims at an understanding of the mechanism of how a biochemical network generates a r...
Ordinary differential equation models have become a standard tool for the mechanistic description of...
A network facilitates the description of selective interactions among the variables of a system. In ...
Computational analysis of biological systems aims to predict cell behavior under different environme...
<p>The contributors to iron metabolism include TfR1, TfR2, Tf and HFE. These molecules work together...
The continuous parts of complex biological systems are often modeled by use of Ordinary Differential...
International audienceThis paper presents a method for modeling biological systems which combines fo...
Iron is critical to the survival of almost all living organisms. However, inappropriately low or hig...
Les travaux de cette thèse portent principalement sur le développement d'une méthodologie pour la mo...
The major part of this PhD consists in the creation of a methodology to model biological systems. Th...
The understanding of biological systems and processes requires the development of dynamical models c...
Mathematical models that combine predictive accuracy with explanatory power are central to the progr...
Iron is essential for all known life due to its redox properties; however, these same properties can...
The robustness of a biochemical network can be inferred mathematically from its architecture. M athe...
BACKGROUND: Every cell of the mammalian organism needs iron in numerous oxido-reductive processes as...
Systems biology aims at an understanding of the mechanism of how a biochemical network generates a r...
Ordinary differential equation models have become a standard tool for the mechanistic description of...
A network facilitates the description of selective interactions among the variables of a system. In ...
Computational analysis of biological systems aims to predict cell behavior under different environme...
<p>The contributors to iron metabolism include TfR1, TfR2, Tf and HFE. These molecules work together...