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» Evolving genetic regulatory networks for systems biology
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CEC
2003
IEEE
15 years 1 months ago
Genome-physics interaction as a new concept to reduce the number of genetic parameters in artificial evolution
This paper reports on investigations on the possible advantage of the coupling between genomes and physics of cells in artificial evolution. The idea is simple: evolution can rely ...
Peter Eggenberger Hotz
FM
2009
Springer
138views Formal Methods» more  FM 2009»
15 years 4 months ago
What Can Formal Methods Bring to Systems Biology?
This position paper argues that the operational modelling approaches from the formal methods community can be applied fruitfully within the systems biology domain. The results can ...
Nicola Bonzanni, K. Anton Feenstra, Wan Fokkink, E...
99
Voted
BMCBI
2007
186views more  BMCBI 2007»
14 years 9 months ago
Modeling human cancer-related regulatory modules by GA-RNN hybrid algorithms
Background: Modeling cancer-related regulatory modules from gene expression profiling of cancer tissues is expected to contribute to our understanding of cancer biology as well as...
Jung-Hsien Chiang, Shih-Yi Chao
EVOW
2007
Springer
15 years 3 months ago
Modeling the Shoot Apical Meristem in A. thaliana : Parameter Estimation for Spatial Pattern Formation
Understanding the self-regulatory mechanisms controlling the spatial and temporal structure of multicellular organisms represents one of the major challenges in molecular biology. ...
Tim Hohm, Eckart Zitzler
ECAL
2003
Springer
15 years 2 months ago
Evolving Fractal Gene Regulatory Networks for Robot Control
Fractal proteins are a new evolvable method of mapping genotype to phenotype through a developmental process, where genes are expressed into proteins comprised of subsets of the Ma...
Peter J. Bentley