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The integration of experimental data with computer modeling has stimulated productive collaborations among the disciplines of biology, chemistry, physics, and engineering.
Modeling large-scale brain activity with nonlinear dynamical systems theory allows the integration of experimental data from multiple modalities into a common framework that facilitates prediction, testing and possible refutation.
Its estimation requires integration of experimental and modeling approaches and, thus, is at the heart of metabolic systems biology.
When Columbia University Medical Center launched the Columbia Initiative in Systems Biology (CISB) in 2010, an important part of its mission was to foster the integration of experimental and computational research methods.
The Lauffenburger laboratory emphasizes integration of experimental and mathematical/computational analysis approaches, toward development and validation of predictive models for physiologically-relevant behavior in terms of underlying molecular and molecular network properties.
Significant global discovery biases remain, but the integration of experimental and computational approaches is proving fruitful for accurate characterisation of the copy, content, and structure of variable regions.
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However, these conversion estimates depend extensively on coupled stoichiometric modeling [ 18, 19] so these are not simply experimental approaches but rather integrations of experimental and theoretical strategies.
D.C. contributed to the integration of the experimental setup.
Presents new concepts in the field of cancer systems biology, demonstrating the integration of novel experimental and computational approaches for addressing outstanding critical questions in cancer biology.
In this paper, we will focus on the demonstration of the modeling capabilities and the integration of the experimental validation results in the understanding of battery performance.
The authors wish to thank G. Spigler, SSSA, for technical developments with the sensors, T. Wieloch, LU, for aid with histological processing of the brains and the recorded neurons, and A. Ghionzoli, SSSA for contributions to the integration of the experimental setup.
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