Dynamic modeling of genetic networks using genetic algorithm and S-system
By Shinichi Kikuchi, Daisuke Tominaga, Masanori Arita, Katsutoshi Takahashi, Masaru Tomita. Bioinform., 2003
430 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/9cd3f59f59f7223dd703eea8f811e1d21bbcdab3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Claudio Mattiussi
- Dario Floreano
- Jonas S. Almeida
- Eberhard O. Voit
- I-Chun Chou
- Andrea Soltoggio
- Kenneth O. Stanley
- Sebastian Risi
In Molecular Biology
- I-Chun Chou
- Dario Floreano
- Claudio Mattiussi
- Eberhard O. Voit
- Jonas S. Almeida
- Nicolas J.-B. Brunel
- Andrea Soltoggio
- Chris A. J. Klaassen
Citations in the corpus
- Analog Genetic Encoding for the Evolution of Circuits and Networks (2007, background): “of the most promising approaches for the fulfillment of this objective [1]–[3].”
- Decoupling dynamical systems for pathway identification from metabolic profiles (2004, methodology): “This situation is comparable to experimentally testing the same pathway under different conditions, such as different substrate availability, and has recently been employed by other investigators with similar goals ( e.g. , Kikuchi et al. , 2003; Torralba et al. , 2003; Veflingstad et al. , 2003).”
- √n-consistent parameter estimation for systems of ordinary differential equations : bypassing numerical integration via smoothing (2010, neutral): “One example is furnished by [27], where a system that consists of five differential equations and contains sixty parameters and that describes a simple gene regulatory network from [21] is considered.”
- Recent Developments in Parameter Estimation and Structure Identification of Biochemical and Genomic Systems (2009, methodology): “five-variable datasets that required 70,000 PC hours [134], Kimura and co-workers ran the algorithm on a single CPU, where it re-”