2013
DOI: 10.1186/1471-2105-14-180
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Computational framework to support integration of biomolecular and clinical data within a translational approach

Abstract: BackgroundThe use of the knowledge produced by sciences to promote human health is the main goal of translational medicine. To make it feasible we need computational methods to handle the large amount of information that arises from bench to bedside and to deal with its heterogeneity. A computational challenge that must be faced is to promote the integration of clinical, socio-demographic and biological data. In this effort, ontologies play an essential role as a powerful artifact for knowledge representation.… Show more

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Cited by 16 publications
(6 citation statements)
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“…Using these standardized terms helps building complex queries and can facilitate data sharing and integration [ 40 ]. We adhere to further community standards by employing the entity–attribute–value (EAV) model for phenotype annotations [ 41 ]. On average, more than 35 annotations per publication are generated adding up to a total of 13,553 independent statements about nearly 1300 genes.…”
Section: Discussionmentioning
confidence: 99%
“…Using these standardized terms helps building complex queries and can facilitate data sharing and integration [ 40 ]. We adhere to further community standards by employing the entity–attribute–value (EAV) model for phenotype annotations [ 41 ]. On average, more than 35 annotations per publication are generated adding up to a total of 13,553 independent statements about nearly 1300 genes.…”
Section: Discussionmentioning
confidence: 99%
“…in a format reminiscent of the entity-attribute-value (EAV) model [14]. First, the entity is recorded in the Plant part slot (e.g.…”
Section: Phenotype the Phenotypic Information Unit Is Documentedmentioning
confidence: 99%
“…To turn big data into appropriate data has become a topic of many fields endowed with data warehouses. Thus computational methods may throw a bridge from bench to bedside and vice versa [ 7 , 25 ] and web-based platforms would allow seamless interaction between warehouse and patient-centered information as recently put forward through an EU project [ 26 ]. Academic as well as business intelligence literature counsels are available for assisting transformation of big data into a selection of data assembled for care of single disease entities ( http://www.sas.com/ and http://www.aacc.org/ ).…”
Section: An Attempt To Categorizementioning
confidence: 99%