Background: The definition of a distance measure plays a key role in the evaluation of different clustering solutions of gene expression profiles. In this empirical study we compa...
Background: The abundant data available for protein interaction networks have not yet been fully understood. New types of analyses are needed to reveal organizational principles o...
Taner Z. Sen, Andrzej Kloczkowski, Robert L. Jerni...
Hybrid CMOS/non-CMOS memories, in short hybrid memories, have been lauded as future ultra-capacity data memories. Nonetheless, such memories are going to suffer from high degree o...
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
: Static analysis techniques for consistency checking of workflows allow to avoid runtime errors. This is in particular crucial for long running workflows where errors, detected la...
Gabriele Weiler, Arnd Poetzsch-Heffter, Stephan Ki...