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stefano iacus
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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). These require a basic knowledge of the R or S language.
An introductory R course will be given.
The maximum number of participants is 100 for the morning lectures and
30 for the laboratory sessions.
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@unimi.it
[apologizes for cross posting]