3rd IASC world conference on
Computational Statistics & Data Analysis
Amathus Beach Hotel, Limassol, Cyprus, 28-31 October, 2005
 
Title: Functional Genomics: Computational and Statistical Aspects

Description:

Functional genomics represents a new phase of genome analysis. It refers to the development and application of global experimental approaches to assess gene function. It is characterized by high throughput or large-scale experimental methodologies combined with statistical and computational analysis of the results. The fundamental strategy in a functional genomics approach is to expand the scope of biological investigation from studying single genes or proteins to studying all genes or proteins at once in a systematic fashion. Sophisticated statistical and computational techniques are required to analyze responses of thousands of genes in order to identify interesting genes or clusters of genes. E.g. by examining the level of gene expression in cell populations of disease and pre-disease states, investigators will attempt to understand the steps of disease development and to identify the genes involved in disease
susceptibility and gene-environment interactions.

We will cover new statistical and computational topics in functional genomics and expression array analysis.

Focus:

Gene identification
Gene Ontology
Comparative genomics
Quality assessment and normalization
Classification and Prediction
Validation
Development of diagnostic disease classifications systems

Co-Chairs:

Axel Benner
German Cancer Research Center
Central Unit Biostatistics
Im Neuenheimer Feld 280
D-69120 Heidelberg, Germany
Phone: +49 (0)6221/42-2390
Fax: +49 (0)6221/42-52 2390
Email: benner@dkfz.de

Robert Gentleman
Department of Biostatistical Science
Dana--Farber Cancer Institute
44 Binney Street, Boston, MA 02115, USA
Phone: 617-632-5250
Fax: 617-632-2444
Email: rgentlem@hsph.harvard.edu
Geoff McLachlan
Department of Mathematics
University of Queensland
St. Lucia, Brisbane,
Australia 4072
Phone: +61 7 336 52150
Fax: +61 7 336 51477
Email: gjm@maths.uq.edu.au
Martina Mittlböck
Department for Medical Computer Sciences
Medical University of Vienna
Spitalgasse23, A-1090 Vienna, Austria
Phone: (+43) 1 40400 2276
Fax (+43) 1 40400 2278
e-mail Martina.Mittlboeck@meduniwien.ac.at