Computational Diagnostics Group compdiag MPI for Molecular Genetics

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Dept. Vingron
Group Seminar
NGFN Microarray Data Analysis Resource

adSplit - Annotation-Driven Splits in Microarray Data

StAM logo adSplit is an R/Bioconductor Package which implements annotation-driven splitting of microarray data into two classes. Functional annotations of genes are used to restrict expression matrices linked to particular annotations. Splits are then computed using 2-means clustering The biological terms used are derived from the Gene Ontology, as well as the KEGG database of pathways.


    Annotation-based Distance Measures for Patient Subgroup Discovery in Clinical Microarray Studies
    Lottaz C, Toedling J, Spang R
    In D. Huson, O. Kohlbacher, A. Lupas, K. Nieselt and A. Zell (eds.) Lecture Notes on Computer Science, Proceedings of the German Conference on Bioinformatics, Tübingen, Germany, Sep 20-22, 2006, 75-91.


Download the tared and gzipped source file, which is compliant to Bioconductor. To run the package, you need R and at least packages Biobase, multtest, GO and KEGG from Bioconductor. Furthermore, meta data packages for all microarray you want to analyze are needed. To run the examples, you also need the package golubEsets and vsn.

Direct installation from the CompDiag R/Bioconductor-repository

Start the R version where you want to install adSplit. Use the following commands on the R prompt to install StAM directly from our repository:

    z <- getReposEntry("")
    install.packages2("adSplit", z)

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