---
res:
bibo_abstract:
- |-
Molecular noise, which arises from the randomness of the discrete events in the cell, significantly influences fundamental biological processes. Discrete -state continuous-time stochastic models (CTMC) can be used to describe such effects, but the calculation of the probabilities of certain events is computationally expensive.
We present a comparison of two analysis approaches for CTMC. On one hand, we estimate the probabilities of interest using repeated Gillespie simulation and determine the statistical accuracy that we obtain. On the other hand, we apply a numerical reachability analysis that approximates the probability distributions of the system at several time instances. We use examples of cellular processes to demonstrate the superiority of the reachability analysis if accurate results are required.@eng
bibo_authorlist:
- foaf_Person:
foaf_givenName: Frédéric
foaf_name: Didier, Frédéric
foaf_surname: Didier
- foaf_Person:
foaf_givenName: Thomas A
foaf_name: Thomas Henzinger
foaf_surname: Henzinger
foaf_workInfoHomepage: http://www.librecat.org/personId=40876CD8-F248-11E8-B48F-1D18A9856A87
orcid: 0000−0002−2985−7724
- foaf_Person:
foaf_givenName: Maria
foaf_name: Maria Mateescu
foaf_surname: Mateescu
foaf_workInfoHomepage: http://www.librecat.org/personId=3B43276C-F248-11E8-B48F-1D18A9856A87
- foaf_Person:
foaf_givenName: Verena
foaf_name: Wolf, Verena
foaf_surname: Wolf
bibo_doi: 10.1007/978-3-642-03845-7_12
bibo_volume: 5688
dct_date: 2009^xs_gYear
dct_publisher: Springer@
dct_title: Approximation of event probabilities in noisy cellular processes@
...