Algorithms for Biological Network Modelling
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: closed (1 April 2023) | Viewed by 4047
Special Issue Editor
Special Issue Information
Dear Colleagues,
Computational models of biological networks have come to occupy a central role in quantitative biology and medicine, enabling precise predictions to be made and tested regarding the effects of chemical and genetic perturbations. However, a key bottleneck in constructing predictive models is the process of calibrating parameters to experimental data, particularly in view of the exponential increase in model parameters with system size.
This Special Issue will bring together cutting-edge methods from diverse computational disciplines that are currently being employed to address this important problem. Of particular interest are (i) methods from evolutionary computing to efficiently explore and characterize the design space (e.g., evolutionary algorithms, multi-objective optimisation, surrogate-assisted optimisation, landscape-aware heuristic search) and (ii) methods from applied mathematics to construct model formulations that reduce complexity whilst preserving predictive capacity (e.g., logic-based models).
We encourage submissions across a broad range of application domains, including—but not restricted to—gene regulatory network modelling, metabolic modelling, synthetic biology and computational neuroscience.
Dr. Ozgur Akman
Guest Editor
Manuscript Submission Information
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Keywords
- computational biology
- evolutionary algorithms
- surrogate models
- multi-objective optimization
- landscape analysis
- local optima networks
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