Integrative analysis of genome-wide data sets
Subproject 1A will perform the analysis and integration of the various data sets. From the integrated data based on statistical methods and machine learning methods relevant characteristics are extracted (e.g. molecular signatures, regulatory interactions), which form the basis of mechanistic modeling in subproject 1B, and experimental and clinical validation in the other subprojects. In cooperation with the other subprojects biomarkers are identified for patient stratification and new individualized treatment options will be developed.