Winter Term 2004/2005


Statistical Analysis of Gene Expression Data Using R/Bioconductor

Jointly taught by:


For participation please register (until 22 November 2004) with either Korbinian Strimmer (email) or Alexander Yassouridis (email).


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 packages).

The course runs from 23 to 25 November 2004. The lectures take place at the Max-Planck-Institute of Psychiatry, Kraepelinstr 2, 3rd floor, conference room (11:00-13:00). Computer excercises in R take place in the Dept. of Statistics, Ludwigstr. 33, computer room, ground floor (15:00-18:00).


  • 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).


For pdf files of lectures see the homepage of our microarray analysis course from last winter term (2003/2004).

The R packages mainly used are the Bioconductor packages and the GeneTS package.

We gratefully acknowledge that parts of the above material are taken from the Bioconductor web site and from the NGFN Microarray data analysis resource.

Last modified:
November 22, 2004