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High-Dimensional Multi-Block Analysis of Factors Associated with Thrombin Generation Potential

hal.structure.identifierVaccine Research Institute [Créteil, France] [VRI]
dc.contributor.authorLORENZO, Hadrien
hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierInstitut National de la Santé et de la Recherche Médicale [INSERM]
dc.contributor.authorRAZZAQ, Misbah
hal.structure.identifierKTH Royal Institute of Technology [Stockholm] [KTH ]
dc.contributor.authorODEBER, Jacob
hal.structure.identifierHôpital de la Timone [CHU - APHM] [TIMONE]
dc.contributor.authorMORANGE, Pierre-Emmanuel
hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierEcole Nationale Supérieure de Cognitique [ENSC]
dc.contributor.authorSARACCO, Jérôme
hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierInstitut National de la Santé et de la Recherche Médicale [INSERM]
dc.contributor.authorTRÉGOUËT, David-Alexandre
hal.structure.identifierStatistics In System biology and Translational Medicine [SISTM]
dc.contributor.authorTHIÉBAUT, Rodolphe
dc.date.accessioned2024-04-04T02:57:53Z
dc.date.available2024-04-04T02:57:53Z
dc.date.conference2019-06-05
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192603
dc.description.abstractEnThe identification of novel biological factors associated with thrombin generation, a key biomarker of the coagulation process, remains a relevant strategy to disentangle pathophysiological mechanisms underlying the risk of venous thrombosis (VT). As part of the MARseille THrombosis Association Study (MARTHA), we measured whole blood DNA methylation levels, plasma levels of 300 proteins, 3 thrombin generation biomarkers (endogeneous thrombin potential, peak and lagtime), clinical and genetic data in 700 patients with VT. The application of a novel high-dimensional multi-levels statistical methodology we recently developed, the data driven sparse Partial Least Square method (ddsPLS), on the MARTHA datasets enabled us 1/ to confirm the role of a known mutation of the variability of endogenous thrombin potential and peak, 2/ to identify a new signature of 7 proteins strongly associated with lagtime.
dc.description.sponsorshipMedical Genomics - ANR-10-LABX-0013
dc.language.isoen
dc.publisherIEEE
dc.subject.enMulti-Omics
dc.subject.enHigh Dimensional Data
dc.subject.enMissing Data
dc.subject.enSVD
dc.subject.enPartial Least Square
dc.subject.enVariable Selection
dc.subject.enMulti-Block Analysis
dc.subject.enMachine Learning
dc.subject.enThrombine Generation
dc.title.enHigh-Dimensional Multi-Block Analysis of Factors Associated with Thrombin Generation Potential
dc.typeCommunication dans un congrès
dc.identifier.doi10.1109/CBMS.2019.00094
dc.subject.halStatistiques [stat]
dc.subject.halSciences du Vivant [q-bio]/Médecine humaine et pathologie
bordeaux.page453-458
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleCBMS 2019 - 32nd IEEE International Symposium on Computer-Based Medical Systems (CBMS)
bordeaux.countryES
bordeaux.conference.cityCordoba
bordeaux.peerReviewedoui
hal.identifierhal-02429302
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2019-06-07
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02429302v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.spage=453-458&rft.epage=453-458&rft.au=LORENZO,%20Hadrien&RAZZAQ,%20Misbah&ODEBER,%20Jacob&MORANGE,%20Pierre-Emmanuel&SARACCO,%20J%C3%A9r%C3%B4me&rft.genre=unknown


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