---
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: Henzinger, Thomas A
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: Mateescu, Maria
foaf_surname: Mateescu
- foaf_Person:
foaf_givenName: Verena
foaf_name: Wolf, Verena
foaf_surname: Wolf
bibo_doi: 10.1016/j.tcs.2010.10.022
bibo_issue: '21'
bibo_volume: 412
dct_date: 2011^xs_gYear
dct_language: eng
dct_publisher: Elsevier@
dct_title: Approximation of event probabilities in noisy cellular processes@
...