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Boolean network modelling for biological systems has so far mainly been applied to the analysis of medium-scale regulatory networks [ 15- 18].
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This work developed a comparative strategy to facilitate network motif modeling for complex biological processes.
Developing models for biological processes.
In Section 2 we noted that it is possible to treat information-using systems as models for biological systems.
A new model for biological activity and its effects in sediments is presented.
Stem cells are central to developing new treatment options for tissue regeneration and constructing controllable models for biological research.
Here the idea is that language, coding systems, computer programs and other paradigmatically information-exploiting systems can serve as useful models for biological systems.
Two-dimensional models for biological clogging and sorptive tracer transport were used to study the progress of clogging in a sand box experiment.
We employed computational methods based on chemical descriptors and machine learning to create predictive computational models for biological activity of small molecules.
Liposomes, or phospholipid vesicles, are good models for biological membranes, which are found in all species from bacteria to mammals [1 3].
The kinetic model proposed by Nemati and Webb [Nemati, M., & Webb, C. (1997). A kinetic model for biological oxidation of ferrous iron by Thiobacillus ferrooxidans.
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