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In this paper, we develop a modeling framework which permits to describe behavior of clamped DE strips in an analytical fashion.
Here, we expanded the COBRA approach to a modeling framework (Fig. 1A), which permits the systematically investigation of complex metabolic host-microbe interactions.
Generalised additive models provide a well suited modeling framework for uncovering trends in potentially non-linear multivariate data.
Inspired by the BioBrick registry of standard parts, Marchisio and Stelling [ 15] developed a formal modeling framework based on the ordinary differential equations (ODE) formalism which permits modular model composition and has been recently extended for the modeling of more complex eukaryotic systems [ 14].
In the next subsection we introduce two benchmark models, for the univariate and multivariate modeling framework.
The above probabilistic modeling framework that incorporates multiple motif models can be viewed as an extension of a framework proposed in [42].
The modeling framework consists of two-coupled programming models.
The maximization framework permits relatively easy integration with economic models.
One DCS modeling framework involves a collection of joint sparsity models (JSMs) [5].
The NETWORK component models the metabolic network using the constraint-based modeling framework [ 3].
In addition, this modeling framework can be efficiently integrated into multiscale models.
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