[BioC] [COURSE REMINDER] Computational and Statistical Aspects of Microarray Analysis

[stefano iacus]

[Course reminder and few labs added]

Computational and Statistical Aspects of Microarray Analysis (III)
June 19-25 2005, Bressanone-Brixen, Italy

This 5 days lecture series provides an introduction to genomic data and  
their interpretation.
The main focus will be on microarray experiments, covering statistical  
topics such as preprocessing, normalization, quality assessment, gene  
identification, machine learning and inference for graphs and networks.  
  Applications of these methods to proteomics and other high throughput  
technologies will also be covered. Computer laboratory material will be  
available for self-study.

Participants should have some minimal background on biological,  
statistical and computational aspects of microarrays, or other  
high-throughput data.

Participants interested in hands-on, interactive activities should  
consider signing up for the lecture and laboratory series (space is  
very limited; please read the NOTE below). These require a basic  
knowledge of the R or S language. An introductory R course will be  
given.

Lecturers of the course:
Robert Gentleman, Head of Program in Computational Biology, Division of  
Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle  
(WA), USA.

Wolfgang Huber, European Bioinformatics Institute, European Molecular  
Biology Laboratory, Wellcome Trust Genome Campus, Cambridge, England  
(UK).

Rafael A. Irizarry, Department of Biostatistics, Johns Hopkins  
University, School of Public Health, Baltimore (MD), USA.

The course is organized by S.M.Iacus and F.Grigoletto at the  
Universities of Milan and Padua, Italy in collaboration with the  
Biocondutor project and the R Foundation for Statistical Computing.

For further  information, registration and topics please refer to the  
course web page "http://www.economia.unimi.it/marray" or contact  
stefano.iacus at unimi.it


PLEASE NOTE: we currently have 50 places available for the morning  
lectures. Moreover, due to high number of requests, we decided to add  
few more places for the laboratory sessions. These places will be  
assigned on a FIFO base.

[apologizes for cross posting]


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Stefano M. Iacus
Department of Economics,
Business and Statistics
University of Milan
Via Conservatorio, 7
I-20123 Milan - Italy
Ph.: +39 02 50321 461
Fax: +39 02 50321 505
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