A short course on
Computational and Statistical Aspects
        of Microarray Analysis
(May 26th-30th 2003, Milan – Italy)

http://www.eco-dip.unimi.it/marray/


This one week intensive school is intended to give a clear view of
current statistical and computational problems linked to microarray
data along with some solutions.

This self-contained course will touch on many aspects of genome biology
as it applies to microarray analysis.

Topics include preprocessing, estimating gene expression levels,
microarray data and hybridization, experimental design, dimension
reduction and pattern recognition techniques including boosting,
bagging and other recent statistical techniques for microarray data
analysis.

The course is primarily intended for PhD students and researchers
in the areas of Statistics, Biology and related fields. A small
background on data analysis is required.

The course is computationally intensive and laboratory sessions are
associated with methodology ones.

The course has the co-sponsorhip of the following societies: IASC/ISI:
International Association for Statistical Computing, Section of the
International Statistical Institute; SIS: Italian Statistical Society
(Societa' Italiana di Statistica); SISMEC: Italian Society of Medical
Statistics and Clinical Epidemiology (Societa' Italiana di Statistica
Medica e Epidemiologia Clinica)


The computational aspects are a relevant part of the course. During
the labs the software used will be R and tools from the Bioconductor
project. A small knowledge of statistical software is welcome
even if not necessary.

For more information on the software used follow the links below.
For R: http://www.R-project.org
For Bioconductor: http://www.Bioconductor.org

The course is organized as follows:
Period: from may 26th to may 30th 2003 (monday to friday)
Location: University of Milan - Italy
Schedule: two morning sessions on methodology and research topics
                computer labs in the afternoon
Language: english


The course will be given by:

Anestis Antoniadis, Laboratoire de Modelisation et Calcul, Universite
Joseph Fourier, Grenoble, France, editor-in-chief of ESAIM: Probability
and Statistics.

Robert Gentleman, Department of Biostatistics, Harvard School of Public
Health, Boston, Usa, co-author of R environment system and founder of
the Bioconductor research project.

The maximum number of participants is 30. Fees will be required upon
registration.
Up to 10 fellowships are available for PhD students and graduates
upon decision of the Scientific Committee based on candidates CVs.
Each fellowship covers registration fees and lodging expenses
(travel expenses are not included). We will take care about room
reservation for these candidates.

These fellowships are granted by the following academic
institutions:
Department of Statistics, University of Milan - "Bicocca", Milan,
Italy.
Institute of Quantitative Methods, Bocconi University, Milan,
Italy.
Department of Engineering, University of Bergamo, Italy.

Program Committee: Anestis Antoniadis, Laboratoire de Modelisation et
Calcul, Université Joseph Fourier, Grenoble, France; John
Chambers, Bell Labs, Lucent Technologies, Murray Hill, NJ, USA;
Robert Gentleman, Department of Biostatistics, Harvard School of
Public Health, Boston, USA; Stefano M. Iacus, Department of
Economics, University of Milan, Italy; Giovanna Nicolini,
Department of Economics, University of Milan, Italy.

Scientific Committee: Anestis Antoniadis, Laboratoire de Modelisation
et Calcul, Université Joseph Fourier, Grenoble, France; Annibale
Biggeri, Department of Statistics, University of Florence,
Florence, Italy; Roberto Colombi, Department of Engeneering,
Bergamo, Italy; Giovanni Corrao, Department of Statistics,
University of Milan - "Bicocca", Milan, Italy; Mauro Gasparini,
Department of Mathematics, Politechnic of Turin, Turin, Italy;
Robert Gentleman, Department of Biostatistics, Harvard School of
Public Health, Boston, USA; Stefano M. Iacus, Department of
Economics, University of Milan, Italy; Sonia Petrone, Institute of
  Quantitative Methods, Bocconi University, Milan, Italy.


For further informations and details you can either look at the course
web page:

http://www.eco-dip.unimi.it/marray/

or contact Stefano M. Iacus at:

Department of Economics
Via Conservatorio 7
I-20122 Milan
Ph: +39 02 50321 461
Fax: +39 02 50321 515
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