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dc.contributor.authorDíaz Beltrán, Leticia
dc.contributor.authorCano Gutiérrez, Carlos 
dc.contributor.authorWall, Dennis P.
dc.contributor.authorEsteban, Francisco J.
dc.date.accessioned2024-10-01T12:01:36Z
dc.date.available2024-10-01T12:01:36Z
dc.date.issued2013-05-21
dc.identifier.citationDíaz Beltrán, L. et. al. Behav. Sci. 2013, 3, 253–272. [https://doi.org/10.3390/bs3020253]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/95368
dc.description.abstractSystems biology interdisciplinary approaches have become an essential analytical tool that may yield novel and powerful insights about the nature of human health and disease. Complex disorders are known to be caused by the combination of genetic, environmental, immunological or neurological factors. Thus, to understand such disorders, it becomes necessary to address the study of this complexity from a novel perspective. Here, we present a review of integrative approaches that help to understand the underlying biological processes involved in the etiopathogenesis of neurological diseases, for example, those related to autism and autism spectrum disorders (ASD) endophenotypes. Furthermore, we highlight the role of systems biology in the discovery of new biomarkers or therapeutic targets in complex disorders, a key step in the development of personalized medicine, and we demonstrate the role of systems approaches in the design of classifiers that can shorten the time for behavioral diagnosis of autism.es_ES
dc.description.sponsorshipJunta de Andalucía (BIO-302 to F.J.E. and L.D.B.)es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectSystems biologyes_ES
dc.subjectNeurological diseaseses_ES
dc.subjectGene expressiones_ES
dc.titleSystems Biology as a Comparative Approach to Understand Complex Gene Expression in Neurological Diseaseses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.3390/bs3020253
dc.type.hasVersionVoRes_ES


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Atribución 4.0 Internacional
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