Semantic biomarker selection for functional genomics of heart failure model organisms

Genetic model organism have the potential of increasing the understanding of malicious human genotypes and deregulated molecular processes. In this context, an adequate high-level characterization of experimental results is a necessary requirement for a successful trans-species transfer. In classification experiments, we analyze the gene expression profiles of six heart failure phenotypes of the zebrafish danio rerio. We train semantic multi classifier systems that directly provide a high-level hypotheses on the underlying processes.