[BioC] [COURSE ANNOUNCEMENT] CSAMA'07

[stefano iacus]

FIRST ANNOUNCEMENT: CSAMA'07

Computational and Statistical Aspects of Microarray Analysis (V)
18-22-June-2007, 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.

The maximum number of participants is 60. Participants will receive a  
copy of the book "Bioinformatics and Computational Biology Solutions  
Using R and Bioconductor", Gentleman et al., Springer NY, 2005. There  
are 40 additional places for auditors (lectures only).

Lecturers of the course:
* Robert Gentleman,  Fred Hutchinson Cancer Research Center, Seattle  
(WA), USA.
* Wolfgang Huber, European Bioinformatics Institute,  Cambridge,  
England (UK).
* Rafael A. Irizarry, Department of Biostatistics, Johns Hopkins  
University, (USA)
* Ulrich Mansmann, Institut Fur Medizinische Informationsverarbeitung  
Biometrie und Epidemiologie, Ludwig-Maximilians Universitat Munchen, (D)


The course is organized jointly by 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"

[apologizes for cross posting]




-----------------------------------
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
http://www.economia.unimi.it/iacus
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