Programme

13.15-14.00: Arrival and registration.
14.00-14.05: Welcome.
14.05-15.45: Session 1. Chair: Richard Boys
- 14.05-14.55: Chris Holmes, Oxford University, UK.
  A Bayesian nonparametric decision theoretic approach to inference of copy-number variation in heterogeneous cancer samples
- 14.55-15.45: Dhruv Grover, Ravi Prakash, John Tower and Simon Tavaré*, University of Southern California, USA / Janelia Farm Research Campus, USA / Cambridge University, UK.
  O fly where art thou?
15.45-16.10: Tea.
16.10-17.00: Session 2. Chair: Malcolm Farrow
- 16.10-17.00: Korbinian Strimmer, Leipzig University, Germany.
  An efficient large scale prediction and feature selection approach for microarray and proteomics data
17.00-18.00: Posters

09.30-10.55: Session 3. Chair: Darren Wilkinson
- 09.30-10.20: David Wild, Warwick University, UK.
  Statistical machine learning for structural bioinformatics
- 10.20-10.55: Pierre Nicolas*, Aurélie Leduc, Stéphane Robin and Philippe Bessières, AgroParisTech / INRA, France.
  A model of signal shift and drift for tiling array expression data
10.55-11.20: Coffee.
11.20-12.45: Session 4. Chair: Chris Holmes
- 11.20-12.10: Sylvia Richardson, Imperial College London, UK.
  Approximate Bayesian computation under model uncertainty, with application to protein network evolution
- 12.10-12.45: Clive Bowsher, Cambridge University, UK.
  Dynamic independence and modularity in graphs of large biochemical reaction networks
12.45-13.45: Lunch.
Buffet lunch provided.
13.45-15.10: Session 5. Chair: Heather Cordell
- 13.45-14.35: Mark Girolami, Glasgow University, UK.
  Posterior inference over nonlinear differential equations via Hamiltonian Monte Carlo on the Riemann manifold with application to biochemical system modelling
- 14.35-15.10: Etienne Birmelé, INRA, France.
  Detecting motifs in biological networks by local concentration
15.10-15.35: Tea.
15.35-16.25: Session 6. Chair: Korbinian Strimmer
- 15.35-16.25: Darren Wilkinson, Newcastle University, UK.
  Stochastic modelling and Bayesian inference for biochemical network dynamics
16.30: Close.

Newcastle University