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dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorMOUGIN, Fleur
IDREF: 116242337
dc.contributor.authorAUBER, D.
dc.contributor.authorBOURQUI, R.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorDIALLO, Abdourahmane Gayo
IDREF: 112800084
dc.contributor.authorDUTOUR, I.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorJOUHET, Vianney
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorTHIESSARD, Frantz
hal.structure.identifierStatistics In System biology and Translational Medicine [SISTM]
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorTHIEBAUT, Rodolphe
dc.contributor.authorTHEBAULT, P.
dc.date.accessioned2020-12-08T14:26:14Z
dc.date.available2020-12-08T14:26:14Z
dc.date.issued2018-01-01
dc.identifier.issn1095-9130 (Electronic) 1046-2023 (Linking)en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/21366
dc.description.abstractEnLife sciences are currently going through a great number of transformations raised by the in-going revolution in high-throughput technologies for the acquisition of data. The integration of their high dimensionality, ranging from omics to clinical data, is becoming one of the most challenging stages. It involves inter-disciplinary developments with the aim to move towards an enhanced understanding of human physiology for caring purposes. Biologists, bioinformaticians, physicians and other experts related to the healthcare domain have to accompany each step of the analysis process in order to investigate and expertise these various data. In this perspective, methods related to information visualization are gaining increasing attention within life sciences. The softwares based on these methods are now well recognized to facilitate expert users' success in carrying out their data analysis tasks. This article aims at reviewing the current methods and techniques dedicated to information visualisation and their current use in software development related to omics or/and clinical data.
dc.language.isoENen_US
dc.subject.enSISTM
dc.subject.enERIAS
dc.title.enVisualizing omics and clinical data: Which challenges for dealing with their variety?
dc.title.alternativeMethodsen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.ymeth.2017.08.012
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed28887085en_US
bordeaux.journalMethodsen_US
bordeaux.page3-18en_US
bordeaux.volume132en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.teamSISTMen_US
bordeaux.teamERIASen_US
bordeaux.teamSISTM_BPH
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03160796
hal.version1
hal.date.transferred2021-03-05T14:07:20Z
hal.exporttrue
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