One Day Meeting on Data Fusion in Genomics
7 September 2005
Biostatistics Programme, Institute for Mathematical Sciences, Imperial
College
A one day meeting to discuss recent statistical developments in data
fusion, followed by a contributed poster session.
Keynote Speakers
* Philip J. Brown (University of Kent):
Bayesian Functional Mixed Models for Proteomics.
* Chris Holmes (Oxford University):
Integrative Genomics and Pattern Recognition for Biomarker
Discovery.
* Peter Mueller (University of Texas M. D. Anderson Cancer
Centre):
Optimal Sample Size for Multiple Testing: the Case of Gene
Expression Microarrays.
* Marina Vannucci (Texas A&M):
Bayesian Methods for Genomics with Variable Selection.
* Mike West (Duke University):
Bayesian Models and Computational Methods for Integrated
Clinico- Genomic Analysis.
If you are interested in presenting a poster at this meeting, please
contact Sylvia Richardson (see below).
To be held in the Clore Lecture Theatre, Huxley Building, Imperial
College London, 180 Queen's Gate, London, SW7 2AZ.
Provisional timetable:
Talks 10.00-16.45
Poster Session with reception 17.00-18.30
THE MEETING IS FREE OF CHARGE BUT REGISTRATION IS REQUIRED.
For further information and to register please go to:
http://www.bgx.org.uk/
Organised by Professor Sylvia Richardson:
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