Data Integration in the Life Sciences: 10th International by Helena Galhardas, Erhard Rahm

By Helena Galhardas, Erhard Rahm

This ebook constitutes the refereed complaints of the tenth foreign convention on facts Integration within the existence Sciences, DILS 2014, held in Lisbon, Portugal, in July 2014. The nine revised complete papers and the five brief papers integrated during this quantity have been rigorously reviewed and chosen from 20 submissions. The papers hide more than a few very important subject matters comparable to facts integration systems and purposes; biodiversity info administration; ontologies and visualization; associated info and question processing.

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Additional resources for Data Integration in the Life Sciences: 10th International Conference, DILS 2014, Lisbon, Portugal, July 17-18, 2014. Proceedings (Lecture Notes in Computer Science)

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Each rule characterizes a significant subset of positive genes (16 on average for the best theory). This illustrates the ability of our approach to perform induction over LOD. Moreover, the approach described here could be applied to other domains covered by LOD. The imbalance between GO-term facts and other facts in the learning dataset leads to a majority of predicates referring to GO-terms in the theories. One way to avoid the overwhelming effect of the GO-term is to limit their number on the basis of the evidence code associated with GO annotations.

Note that an availability system can be set up at several locations with different views on the same data, such as on Internet with public access or on an intranet with restricted access. se/applications/data-availability 38 O. Spjuth et al. Fig. 3. Conceptual view of filtering a merged dataset by the biobank and quality registry variables Prognosis and age are variables recorded at the registry, while tissue type information comes from the biobank. In this query, the blue circle corresponds to the query result ’Prognosis=Gleason score’ with 570 matching patients, the red circle ’Tissue Type=Type2’ with 750 matching patients and green circle ’Patient-AGE in range 70-80 years’ with 221 matches.

9(5), 356–369 (2008) 3. : Genomewide association studies and assessment of the risk of disease. N. Engl. J. Med. 363(2), 166–176 (2010) 4. : Swedish bioscience. working sweden’s population gold mine. Science 293(5539), 2375 (2001) 5. : Is rigorous retrospective harmonization possible? application of the datashaper approach across 53 large studies. Int. J. Epidemiol. 40(5), 1314–1328 (2011) 6. : Sharing confidential data for research purposes: a primer. Epidemiology 22(5), 632–635 (2011) 7. : Toward a roadmap in global biobanking for health.

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