As part of the 2009/2010 EPSRC Symposium on the Mathematics of Complexity
Science and Systems Biology Warwick Mathematics Institute is hosting
workshop on "Information Extraction From Complex Data Sets",
14-18 September 2009
See
http://text.www2.warwick.ac.uk/fac/sci/maths/research/events/2009-2010/symposium/infwks/
A key feature that distinguishes the modern approach to Systems Biology is
the aim of linking modelling of the interactions of system components with
the huge volume and diversity of contemporary cellular and molecular data,
such as that coming from high-throughput, genome-wide and imaging
technologies. In non-biological contexts there has also been an increasing
demand in recent years for analysis of high-dimensional structured data
streams, as well as for the analysis of dynamic processes on and over
large-scale graphs and networks. One major focus of the workshop will be
the development of methods for biological network inference, tackling the
issues of data integration, correlated measurements, sampling and
approximate methodologies, multi-task learning, and biological realism of
the models.
A key goal will be to facilitate the interaction of experimental biologists who generate and use
complex high-dimensional data with theoreticians experienced in data
analysis. This workshop will also build upon the High Dimensional Statistics in Biology
workshop held at the Isaac Newton Institute for Mathematical Sciences,
Cambridge in April 2008, which had a focus on genome organization.
Confirmed speakers include:
M. Girolami (Glasgow, UK)
C. Holmes (Oxford, UK)
D. Husmeier (Edinburgh, UK)
N. Lawrence (Manchester, UK)
J. Leskovec (Stanford, USA)
H. Li (UPenn, USA)
G. Sanguinetti (Sheffield, UK)
R. Silva (Cambridge, UK)
J. Skilling (MEDC, Ireland)
S. Tavare (Cambridge, UK)
M. West (Duke, USA)
J. Winn (Microsoft, UK)
E. Xing (CMU, USA)
|