Add to ORKGOur understanding of the input-output function of single cells has been substantially advanced by biophysically accurate multi-compartmental models. The large number of parameters needing hand tuning in these models has, however, somewhat hampered their applicability and interpretability
<div><p>Most biological models of intermediate size, and probably all large models, need to cope wit...
Computational and mathematical modelling has become a valuable tool for investigating biological sys...
Biochemical systems involving a high number of components with intricate interactions often lead to ...
Quantitative computational models play an increasingly important role in modern biology. Such models...
Mathematical models based on ordinary differential equations have been employed with great success t...
The regulatory systems that allow cells to adapt to their environments are exceedingly complex, and ...
Due to the complicated metabolism of mammalian cells, the corresponding dynamic mathematical models ...
Computational modelling of biological processes and systems has witnessed a remarkable development i...
Ordinary differential equation models have become a standard tool for the mechanistic description of...
Biochemical systems involving a high number of components with intricate interactions often lead to ...
Motivation: Cellular information processing can be described mathematically using differential equat...
The vast computational resources that became available during the past decade enabled the developmen...
Modelling human and animal metabolism is impeded by the lack of accurate quantitative parameters and...
Since A. M. Turing’s paper proposing a mathematical basis for pattern formation in developing organi...
Biophysically detailed cardiac cell models are based upon stiff ordinary differential equations desc...
<div><p>Most biological models of intermediate size, and probably all large models, need to cope wit...
Computational and mathematical modelling has become a valuable tool for investigating biological sys...
Biochemical systems involving a high number of components with intricate interactions often lead to ...
Quantitative computational models play an increasingly important role in modern biology. Such models...
Mathematical models based on ordinary differential equations have been employed with great success t...
The regulatory systems that allow cells to adapt to their environments are exceedingly complex, and ...
Due to the complicated metabolism of mammalian cells, the corresponding dynamic mathematical models ...
Computational modelling of biological processes and systems has witnessed a remarkable development i...
Ordinary differential equation models have become a standard tool for the mechanistic description of...
Biochemical systems involving a high number of components with intricate interactions often lead to ...
Motivation: Cellular information processing can be described mathematically using differential equat...
The vast computational resources that became available during the past decade enabled the developmen...
Modelling human and animal metabolism is impeded by the lack of accurate quantitative parameters and...
Since A. M. Turing’s paper proposing a mathematical basis for pattern formation in developing organi...
Biophysically detailed cardiac cell models are based upon stiff ordinary differential equations desc...
<div><p>Most biological models of intermediate size, and probably all large models, need to cope wit...
Computational and mathematical modelling has become a valuable tool for investigating biological sys...
Biochemical systems involving a high number of components with intricate interactions often lead to ...