Abstract: Wir präsentieren einen Ansatz, um Annotationsdaten von molekularbiologischen Objekten wie Genen, Proteinen und Pathways aus öffentlichen Datenquellen für datenintensiv...
Building the semantic web encounters problems similar to building large bibliographic systems. The experience of librarianship in controlling large, heterogeneous collections of b...
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Background: Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a userdefined list of genes and/or proteins. The strategy exploits annotation data ...
J. R. Semeiks, A. Rizki, Mina J. Bissell, I. Saira...
In this paper a general framework for separation logic inside the HOL theorem prover is presented. This framework is based on Abeparation Logic. It contains a model of an abstract,...