Winter Term 2003/2004
Jointly taught by:
- Korbinian Strimmer, Juliane Schäfer, Anne-Laure Boulesteix
- Alexander Yassouridis, Klaus Hechenbichler, Bertram Müller-Myhsok,
Markus Panhuysen, Benno Pütz, Daria Salyakina, Klaus Schliep, Shaun Seaman
Institute for Psychiatry).
For participation please register
(until 31 January 2004) with either
This microarray workshop provides a practical introduction to
statistical and computational aspects of gene expression
analysis. Emphasis is put both on the theoretical background,
such as normalization procedures, differential expression, ANOVA,
and clustering and classification procedures, as well as on
practical exercises using R
packages for gene expression analysis (in particular the Bioconductor
The course runs full four days (10:00-17:00) from 16 to 19 February
2004 and takes place in the computer room of
the Department of Statistics.
- Introduction to microarray technology
- Normalization procedures
- Differential expression
- Clustering gene expression data
- Classification of tissue samples
- Inference of genetic networks
On each topic there will be both lectures and practical excercises.
For further details please download the course flyer
(pdf) and the
timetable and program (pdf).
The data sets required for the exercises on clustering and classification (day 3)
are also available (compressed with gzip):
The R packages mainly used are the
and the GeneTS package.
We gratefully acknowledge that parts of the above material is taken from
web site and from the NGFN Microarray data analysis
January 20, 2004