Integrative analysis of cell cycle control in budding yeast.
By Katherine C. Chen, Laurence Calzone, A. Csikász-Nagy, F. Cross, Béla Novák, J. Tyson. Molecular Biology of the Cell, 2004
665 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/9666af678dd4dce81142eb6e06ec91917e1810f0
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In Molecular Biology
- Michael D. Schmidt
- Minghua Deng
- Kayvan Najarian
- Ron Shamir
- Hod Lipson
- Daniel A. Beard
- Fatemeh Navidi
- Guy Karlebach
Citations in the corpus
- Stochastic model of yeast cell-cycle network (2006, methodology): “In this paper, we propose and study a stochastic model for the network regulating the cell cycle of the budding yeast.”
- Boolean network models of cellular regulation: prospects and limitations (2008, background): “cerevisiae) is a widely studied example of a robust dynamical process in the cell (Mendenhall & Hodge 1998; Chen et al. 2004).”
- Automated refinement and inference of analytical models for metabolic networks (2011, background): “with the utmost possible detail [1–3], or effective or surrogate”
- Modeling the cell cycle: why do certain circuits oscillate? (2011, neutral): “This typeof detailedmodel has successfully accounted for thephenotypes of dozens of budding yeast mutants (Chen et al., 2004).”
- Big Data Analytics in Healthcare (2015, methodology): “The dynamics of gene regulatory network can be captured using ordinary di erential equations (ODEs) [174 177].”
- Modelling and analysis of gene regulatory networks (2008, methodology): “used the same approach to model the cell-cycle regulatory network in yeas”
- Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution (2021, methodology): “To answer this question, we also studied a celebrated model for the budding yeast cell-cycle [30], where the interactions between the biomolecules that regulate the cell-cycle are modelled by 60 coupled ordinary differential equations (ODEs) As a proxy for the genotypes, we randomly sample the 156…”