Organised by Neil Lawrence, Mark Girolami, Magnus Rattray and Guido Sanguinetti
The thematic programme is now complete, the ideas of the thematic programme will be continued in a series of workshops managed by a steering committee.
In this thematic programme we considered how machine learning can be brought to bear in knowledge driven systems biology models. Our key aim was to bridge a perceived gap between data driven computational biology models and systems biology models that are inspired by a knowledge of the actual underlying molecular interactions. We organised three workshops on parameter estimation in systems biology, probabilistic modelling of cellular networks and pathways and practical approaches to inference in large biological systems. The Thematic Programme ran between March and September 2007.