Article #6, version 15 March 2012, state: Liquid turbulent
A Success Story in the Science of Complex Systems: GENetic NETworks - Emergence and Complexity
Authors: François Képès et al.
The success story "GENetic NETworks: Emergence and Complexity" describes the main achievements of the GENNETEC project, the proposal of new concepts and tools based on observations on networks of genetic interactions. These new concepts and tools include the use of randomized network ensembles as a tool to characterize empirical networks and their constituents; algorithms for sampling and counting systems with multiple scales, such as RNA sequences; considering interactions based on spatial information to characterize network dynamics; and identifying conditions that preserve fundamental network properties. Another domain was modelling systems with multiple objectives and an underlying network of regulatory interactions - an evolutionary algorithm strategy was proposed to optimize the regulatory network for two simultaneous objectives. In general terms, these proposals were coherently organized in a framework allowing to simultaneously describe a given complex object at multiple scales and potentially design a system composed by several of these complex objects. Several applications were developed, namely in the domain of discovery or completion of genetic networks from incomplete data.
Received: 15 March 2012 | Updated: 15 March 2012 | Liquid turbulent since: 15 March 2012
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