Statistical Inference and Analysis of Biological Networks
17th October 2006
Imperial College London Institute of Mathematical Sciences
53 Prince's Gate, South Kensington, London SW7 2PG
Organised by Dr Michael Stumpf, Imperial College ([log in to unmask])
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10:30 Welcome and Introduction
10:45 Statistical learning of high-dimensional multivariate dependency networks:from static approaches to dynamical time course models.
Dr. Korbinian Strimmer, Statistics, Maximilian Ludwidgs Universität München
11:30 Using mathematical models for the analysis of biological network data
Prof. Carsten Wiuf, Bioinformatics, Aarhus University
12:15 Lunch Break
14:00 Uncovering structure in biological networks: a model-based approach
Dr. Stephane Robin, INA-PG/ INRA , Paris
14:45 Inferences from noisy and incomplete protein interaction network data.
Dr. Michael Stumpf, Bioinformatics, Imperial College London
15:30 Tea and Coffee
16:00 Statistical analysis of biological networks: clusters, motifs, correlations.
Dr. Johannes Berg, Theoretical Physics, Universität Köln
16:45 Stochastic modelling of cellular ageing
Dr. Darren Wilkinson, Mathematics and Statistics, Newcastle University
17:30 - 18:30 Drinks reception
This event is hosted jointly by the Biostatistics Programme in the Mathematical Sciences Institute and the Centre for Bioinformatics at Imperial College London.
Please register for this free event via an email to: [log in to unmask]
Places are limited.
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