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This field leads to provide the combination of methods that can be used to represent a set of complex systems in modeling of which is impossible or very hard by applying computational regulations of pure mathematics and hard logic to them, whilst the applicable simulations and practical implementations may be conducted by using the soft computing techniques.
These results identified inherent differences in TCDD-mediated gene expression responses between these models and highlighted the limitations of in vitro systems in modeling whole organism responses, and additionally identified potential predictive biomarkers of toxicity.
Applications of dynamical systems in modeling transcription regulatory networks can be found in [ 18- 21].
Conditional transgenic strains resulting in conditional deletion of Trp53 alone and Trp53 in combination with pRb have proven to be one of the most valuable systems in modeling SCLC.
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The present work is motivated by the use of the spring-block system in modeling the quasi-static fragmentation which occurs in drying granular materials in contact with a frictional substrate [26], [33].
Therefore, FDEs are a very important topic both in theory and application, for example, in population models, in engineering, in chaotic systems and in modeling hydraulics.
Therefore, accurate criticality characterization is facilitated by appropriate system inclusiveness in modeling.
Therefore, they demonstrate the general application of our culture system in modelling DE development and studying early organogenesis of the pancreas and liver in vitro.
It works with existing DVD systems in models back to 2008.
Recently, improvements have been made to small molecule induction systems in model cyanobacteria.
The abovementioned suggests that the NTFs and cytokine systems in models of depression may be primary targets for both efficient fair experimental studies and development of drugs for treatment of depression states.
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