: In this paper, we discuss adjustable coverage criteria and their combinations in model-based testing. We formalize coverage criteria and specify test goals using OCL. Then, we pr...
Mario Friske, Bernd-Holger Schlingloff, Stephan We...
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Following advances in biotechnology, many new whole genome sequences are becoming available every year. A lot of useful information can be derived from the alignment and compariso...
Graph-theory-based approaches have been used with great success when analyzing abstract properties of natural and artificial networks. However, these approaches have not factored...
Background: Microarray experiments generate vast amounts of data. The functional context of differentially expressed genes can be assessed by querying the Gene Ontology (GO) datab...