Applied Statistics

We support and perform statistical data analysis for research projects. Whenever possible we rely on established approaches available in commercial or academic software packages. In cases with very specific demands, we develop statistical algorithms, implement them in software and make them available to our users.

Statistical data analysis that goes beyond standard analyses is performed for user projects only in the framework of a collaboration agreement. See Support Modes > Collaboration for details.

Examples

• Research > MAGMA -- a web application for the quick but nevertheless powerful statistical analysis of two-channel data
• Research > Phylochip -- an optimized approach to the strain identification with diagnostic microarrays
• Research > ADE -- statistical data analysis to improve the proteome coverage of shotgun proteomics
• Research > MAP -- using association rules to detect gene sets that are coregulated throughout subsets of conditions

Contacts

Hubert Rehrauer