Computational Probability for Systems Biology

Werner Sandmann and Verena Wolf
June 2008

Abstract

Stochastic models of biological networks properly take the randomness of molecular dynamics in living cells into account. Numerical solution approaches inspired by computational methods from applied probability can efficiently yield accurate results and have significant advantages compared to stochastic simulation. Examples for the success of non-simulative numerical analysis techniques in systems biology confirm the enormous potential.

Type
Paper-Conference
Publication
Formal Methods in Systems Biology - First International Workshop, Proceedings. International Workshop on Formal Methods in Systems Biology (FMSB-2008), June 4-5, Cambridge, United Kingdom
DOI
10.1007/978-3-540-68413-8_3

Cite

@inproceedings{sandmannComputationalProbabilityForSystems2008,
 author = {Werner Sandmann and Verena Wolf},
 booktitle = {Formal Methods in Systems Biology - First International Workshop, Proceedings. International Workshop on Formal Methods in Systems Biology (FMSB-2008), June 4-5, Cambridge, United Kingdom},
 doi = {10.1007/978-3-540-68413-8_3},
 edition = {1},
 editor = {Jasmin Fisher},
 isbn = {9783540684138},
 month = {6},
 pages = {33-47},
 publisher = {Springer, Berlin, Heidelberg},
 series = {Lecture Notes in Computer Science, LNCS},
 title = {Computational Probability for Systems Biology},
 volume = {5054},
 year = {2008}
}