Learning and Inference in Computational Systems Biology

March 26th-27th 2008, Glasgow UK

Schedule

The workshop will begin with registration at 11am on Wednesday March 26th followed by lunch with oral presentations starting at about 1pm.

Wednesday 26th March 2008
11.00	Registration desk open.
12.00	Lunch
12.50	Welcome
Session 1
13.00	Michalis K. Titsias	Gaussian process modelling of transcription factor networks using Markov Chain Monte-Carlo
13.20	Martino Barenco	Data variability could be your friend
13.40	Catherine Higham	Time delay analysis
14.00	Pei Gao	Gaussian process modelling of latent chemical species: Applications to inferring transcription factor activity
14.20	Coffee
Session 2
15.00	Dirk Husmeier	Learning Bayesian networks from postgenomic data with an improved structure MCMC sampling scheme
15.20	Florence d'Alché-Buc	Statistical learning of biological networks: a brief overview
15.40	Kamil Erguler	Validating inferred gene networks using ODE models of regulation dynamics
16.00	Tapesh Santra	Relationship between structure and dynamics of gene regulatory networks
16.20	Discussion

Thursday 27th March 2008
Session 3
9.00	Colin Gillespie	Parameter estimation using moment-closure methods
9.20	Eric Bullinger	Parameter estimation in biochemical reaction networks: An observer-based approach
9.40	Alireza Tamaddoni-Nezhad	Abductive and inductive inference for integrative Systems Biology
10.00	Vladislav Vyshemirsky	BioBayes: Bayesian inference for Systems Biology
10.20	Coffee
Session 4
11.00	Oliver Stegle	Factor models for QTL studies
11.20	Theodoros Damoulas	Probabilistic multi-class multi-kernel learning: On protein fold recognition and remote homology detection
11.40	Jose Santos	Predicting anti-cancer molecule activity using machine learning algorithms
12.00	Workshop closes, MASAMB registration opens

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