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You are here: Home Events ANC Seminar: Investigating cell-to-cell variability with Bayesian model selection and approximate likelihood Dr Sarah Filippi, Lecturer in Statistics, Oxford University

ANC Seminar: Investigating cell-to-cell variability with Bayesian model selection and approximate likelihood Dr Sarah Filippi, Lecturer in Statistics, Oxford University

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Chair: Tom Thorne

What
  • ANC/DTC Seminar
When May 05, 2015
from 11:00 AM to 12:00 PM
Where IF Room 4.31/4.33
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At the molecular level every cell is unique and differences between cells of the same type can have profound biomedical implications. The mechanisms driving this variability can be divided into two classes: within-cell variability arising from stochasticity in the biochemical reactions and cell-to-cell fluctuations in biochemical reaction rates. Given the growing abundance of ’omics data resolved at the single-cell level, it is becoming increasingly important to include these sources of noise in mathematical models.  In this talk, I will present a general modelling and Bayesian inference methodology for single-cell data that explicitly takes into account both intrinsic and extrinsic noise. Using quantitative image cytometry (QIC) single-cell proteomics data, the methodology is applied to the study of the MEK/ERK phosphorylation dynamics.

 

Dr Sarah Filippi is a departmental lecturer in Statistics, Oxford University

 http://www.stats.ox.ac.uk/people/academic_staff/sarah_filippi

 

Lunch will be provided.