|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Stochastic modelling in Biology
If you have a question about this talk, please contact Julia Blackwell.Traditionally, biological systems are modelled by deterministic models. However, biochemical reacting systems which involve small number of molecules of certain species may not be adequately modelled by a deterministic differential equations. Stochastic models, in form of jump processes or stochastic differential equations, have been proposed instead for analyzing such systems(Gillespie1976, Gillespie 1977).
Aim of this project is to gain some insight of the stochastic behavior in biochemical systems and their comparison to the deterministic models in performing parameter inference and model selection.
This talk is part of the Statistical Laboratory Graduate Seminars series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsRSC Organic Division South Eastern Regional Meeting Frank King Business and Society Research Group
Other talksHistorical time, primitive peoples and the abyss of race: conceptions of temporality in German anthropology and folklore studies (1850s–1930s) “How does natural selection shape development?” Perspectives on the surface reactivity of actinides Cardiovascular Development: Insights into Regeneration Are we able to solve the puzzle of Crohn’s disease using metagenomic analysis of the gut mucosa microbiome and virome – advances in using next generation sequencing Structural insights on cell entry of enveloped RNA viruses and the antiviral activities of viperin