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A Conceptual Model-Based Approach to Improve the Representation and Management of Omics Data in Precision Medicine

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A Conceptual Model-Based Approach to Improve the Representation and Management of Omics Data in Precision Medicine

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dc.contributor.author García-Simón, Alberto es_ES
dc.contributor.author León-Palacio, Ana es_ES
dc.contributor.author REYES ROMÁN, JOSÉ FABIÁN es_ES
dc.contributor.author Casamayor Rodenas, Juan Carlos es_ES
dc.contributor.author Pastor López, Oscar es_ES
dc.date.accessioned 2022-06-30T18:07:55Z
dc.date.available 2022-06-30T18:07:55Z
dc.date.issued 2021 es_ES
dc.identifier.uri http://hdl.handle.net/10251/183727
dc.description.abstract [EN] Precision medicine has emerged as a disrupting medical model to transform a historically reactive medicine into a proactive one that focuses on delivering individualized treatment. A relevant challenge of precision medicine is to integrate the large amount of omics data that exists. This data has a high degree of heterogeneity, dispersion, and isolation. In addition, there is a lack of a solid ontological commitment regarding domain concepts and definitions, and a unified guideline of how to transform data into knowledge is missing. In this work, we report our experience applying conceptual modeling to deal with these challenges in a specific genomics dimension, i.e., Precision Medicine. To do so, we have applied conceptual modeling techniques. The use of these techniques allows us to create representations of the world (i.e., conceptual schemes) that can be used for the purposes of understanding, communicating, and problem-solving. They also help to establish a common ontological framework to facilitate both communication and knowledge evolution in complex domains. We identify a set of limitations that emerged after working in a precision medicine context, and we describe how we have solved them using conceptual modeling. Thus, the main contribution of this work is to present the subsequent Conceptual Schema that allowed us to overcome these limitations, which provides a better representation of proteomics data and eases its integration. es_ES
dc.description.sponsorship This work was supported in part by the Spanish State Research Agency and the Generalitat Valenciana under Project PROMETEO/2018/176, Project PDC2021-121243-I00, and Project INNEST/2021/57; and in part by the European Regional Development Fund (ERDF) and the European Union NextGenerationEU/PRTR. es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Access es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Genomics es_ES
dc.subject Bioinformatics es_ES
dc.subject Precision medicine es_ES
dc.subject Sequential analysis es_ES
dc.subject Evolution (biology) es_ES
dc.subject Task analysis es_ES
dc.subject Proteins es_ES
dc.subject Conceptual modeling es_ES
dc.subject CSHG es_ES
dc.subject CSG es_ES
dc.subject Evolution es_ES
dc.subject Human genome es_ES
dc.subject Genome es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title A Conceptual Model-Based Approach to Improve the Representation and Management of Omics Data in Precision Medicine es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/ACCESS.2021.3128757 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2018%2F176//GISPRO-GENOMIC INFORMATION SYSTEMS PRODUCTION/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AGENCIA VALENCIANA DE LA INNOVACION//INNEST%2F2021%2F57//SISTEMA INTELIGENTE DE APOYO A LA TOMA DE DECISIONES CLÍNICAS EN MEDICINA DE PRECISIÓN/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AGENCIA ESTATAL DE INVESTIGACION//PDC2021-121243-I00//PLATAFORMA DELFOS: SISTEMA DE INFORMACIÓN PARA LA GESTIÓN DE VARIACIONES GENOMICAS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation García-Simón, A.; León-Palacio, A.; Reyes Román, JF.; Casamayor Rodenas, JC.; Pastor López, O. (2021). A Conceptual Model-Based Approach to Improve the Representation and Management of Omics Data in Precision Medicine. IEEE Access. 9:154071-154085. https://doi.org/10.1109/ACCESS.2021.3128757 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/ACCESS.2021.3128757 es_ES
dc.description.upvformatpinicio 154071 es_ES
dc.description.upvformatpfin 154085 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 9 es_ES
dc.identifier.eissn 2169-3536 es_ES
dc.relation.pasarela S\452386 es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder AGENCIA VALENCIANA DE LA INNOVACION es_ES


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