2018 Annual Meeting of the Society for Mathematical Biology & the Japanese Society for Mathematical Biology

Statistical inference for parameters of biochemical networks

11 Jul 2018, 12:00

30m

New Law School/--026 (University of Sydney)

Oral Presentation Minisymposium: Multiscaling methods and parameter inference in stochastic biochemical networks Multiscaling methods and parameter inference in stochastic biochemical networks

Speaker

Grzegorz Rempała (The Ohio State University)

Description

The inference for the reaction rates in chemical networks is often challenging due to intrinsic and extrinsic biological noise, missing data and lack of experimental reproducibility. The talk will provide an overview of some recent work on new efficient methods of rates estimation in stochastic biochemical networks both at molecular and population scales. Stochastic SIR and Michaelis Menten models will be used as examples to illustrate broader points.