Propagation models for computing biochemical reaction networks

T.A. Henzinger, M. Mateescu, in:, Springer, 2011, pp. 1–3.

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Conference Paper | Published | English
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Abstract
We introduce propagation models, a formalism designed to support general and efficient data structures for the transient analysis of biochemical reaction networks. We give two use cases for propagation abstract data types: the uniformization method and numerical integration. We also sketch an implementation of a propagation abstract data type, which uses abstraction to approximate states.
Publishing Year
Date Published
2011-09-21
Page
1 - 3
Conference
CMSB: Computational Methods in Systems Biology
Conference Location
Paris, France
Conference Date
2011-09-21 – 2011-09-23
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Henzinger TA, Mateescu M. Propagation models for computing biochemical reaction networks. In: Springer; 2011:1-3. doi:10.1145/2037509.2037510
Henzinger, T. A., & Mateescu, M. (2011). Propagation models for computing biochemical reaction networks (pp. 1–3). Presented at the CMSB: Computational Methods in Systems Biology, Paris, France: Springer. https://doi.org/10.1145/2037509.2037510
Henzinger, Thomas A, and Maria Mateescu. “Propagation Models for Computing Biochemical Reaction Networks,” 1–3. Springer, 2011. https://doi.org/10.1145/2037509.2037510.
T. A. Henzinger and M. Mateescu, “Propagation models for computing biochemical reaction networks,” presented at the CMSB: Computational Methods in Systems Biology, Paris, France, 2011, pp. 1–3.
Henzinger TA, Mateescu M. 2011. Propagation models for computing biochemical reaction networks. CMSB: Computational Methods in Systems Biology 1–3.
Henzinger, Thomas A., and Maria Mateescu. Propagation Models for Computing Biochemical Reaction Networks. Springer, 2011, pp. 1–3, doi:10.1145/2037509.2037510.
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