Evolutionary Dynamics in Gene Networks and Inference Algorithms
AbstractDynamical interactions among sets of genes (and their products) regulate developmental processes and some dynamical diseases, like cancer. Gene regulatory networks (GRNs) are directed networks that define interactions (links) among different genes/proteins involved in such processes. Genetic regulation can be modified during the time course of the process, which may imply changes in the nodes activity that leads the system from a specific state to a different one at a later time (dynamics). How the GRN modifies its topology, to properly drive a developmental process, and how this regulation was acquired across evolution are questions that the evolutionary dynamics of gene networks tackles. In the present work we review important methodology in the field and highlight the combination of these methods with evolutionary algorithms. In recent years, this combination has become a powerful tool to fit models with the increasingly available experimental data. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Aguilar-Hidalgo, D.; Lemos, M.C.; Córdoba, A. Evolutionary Dynamics in Gene Networks and Inference Algorithms. Computation 2015, 3, 99-113.
Aguilar-Hidalgo D, Lemos MC, Córdoba A. Evolutionary Dynamics in Gene Networks and Inference Algorithms. Computation. 2015; 3(1):99-113.Chicago/Turabian Style
Aguilar-Hidalgo, Daniel; Lemos, María C.; Córdoba, Antonio. 2015. "Evolutionary Dynamics in Gene Networks and Inference Algorithms." Computation 3, no. 1: 99-113.