Scientists and decision-makers need tools that can assess which specific pressures lead to
ecosystem deterioration, and which measures could reduce these pressures and/or limit …

This paper gives a comprehensive review of the application of metaheuristics to optimization
problems in systems biology, mainly focusing on the parameter estimation problem (also …

Background Altered networks of gene regulation underlie many complex conditions,
including cancer. Inferring gene regulatory networks from high-throughput microarray …

Transformative applications in biomedicine require the discovery of complex regulatory
networks that explain the development and regeneration of anatomical structures, and …

In order to reconstruct large-scale gene regulatory networks (GRNs) with high accuracy, a
robust evolutionary algorithm, a dynamic multiagent genetic algorithm (dMAGA), is proposed …

Evolutionary algorithms have been used to solve a number of variable-length problems,
many of which share a common representation. A set of design variables is repeatedly …

One of the exciting problems in systems biology research is to decipher how genome
controls the development of complex biological system. The gene regulatory networks …

Planaria are complex metazoans that repair damage to their bodies and cease remodeling
when a correct anatomy has been achieved. This model system offers a unique opportunity …

The rapid advancements in high-throughput techniques have fueled large-scale production
of biological data at very affordable costs. Some of these techniques are microarrays and …

Many methods aim to use data, especially data about gene expression based on high
throughput genomic methods, to identify complicated regulatory relationships between …