Data Integration in the Life Sciences: 11th International by Naveen Ashish, Jose-Luis Ambite

By Naveen Ashish, Jose-Luis Ambite

This e-book constitutes the complaints of the eleventh overseas convention on information Integration within the existence Sciences, DILS 2015, held in l. a., CA, united states, in July 2015.

The 24 papers offered during this quantity have been conscientiously reviewed and chosen from forty submissions. they're prepared in topical sections named: info integration applied sciences; ontology and information engineering for information integration; biomedical facts criteria and coding; scientific learn purposes; and graduate scholar consortium.

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Additional resources for Data Integration in the Life Sciences: 11th International Conference, DILS 2015, Los Angeles, CA, USA, July 9-10, 2015, Proceedings (Lecture Notes in Computer Science)

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We are also developing an active learning capability (Rubens, Kaplan and Sugiyama, 2011) where developers can vet or correct GEM system mappings and the system is able to learn and improve from such feedback. References 1. : Neuroscience data integration through mediation: an (F)BIRN case study. Front. Neuroinform. 4:118 (2010). 3389/fninf. 00118. PUBMED PMID: 21228907 PMCID: PMC3017358 26 N. Ashish et al. 2. : Schema and ontology matching with COMA++. In: Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, pp.

5–12. IEEE (2000) 10. : Integration of biological sources: current systems and challenges ahead. ACM Sigmod Rec. 33(3), 51–60 (2004) 11. : Garlic: a new flavor of federated query processing for db2. In: Proceedings of the 2002 ACM SIGMOD International Conference on Management of data, pp. 524–532. ACM (2002) 12. : Adaptive query processing on RAW data. PVLDB 7(12), 1119–1130 (2014) 13. : 101 labeled brain images and a consistent human cortical labeling protocol. Front. Neurosci. 6, 101 (2012) 14.

To obtain individual level results the user needs to sign the appropriate data sharing agreements. org portal. After an investigator registers, logs into the system, and signs the data sharing agreements of the data providers, she can also retrieve the individual-level data, which include summary tables (Fig. 3), as well as links to download the images and full cognitive assessments for the selected subjects. The system remembers previously signed agreements and asks the investigator to sign additional ones when her query requires data from additional sources.

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