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A two-sample tree-based test for hierarchically organized genomic signals

hal.structure.identifierInstitut de Mathématiques de Toulouse UMR5219 [IMT]
dc.contributor.authorNEUVIAL, Pierre
hal.structure.identifierInstitut de Mathématiques de Toulouse UMR5219 [IMT]
hal.structure.identifierUnité de Mathématiques et Informatique Appliquées de Toulouse [MIAT INRAE]
dc.contributor.authorRANDRIAMIHAMISON, Nathanaël
hal.structure.identifierMéthodes avancées d’apprentissage statistique et de contrôle [ASTRAL]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorCHAVENT, Marie
hal.structure.identifierGénétique Physiologie et Systèmes d'Elevage [GenPhySE]
dc.contributor.authorFOISSAC, Sylvain
hal.structure.identifierUnité de Mathématiques et Informatique Appliquées de Toulouse [MIAT INRAE]
dc.contributor.authorVIALANEIX, Nathalie
dc.date.accessioned2024-04-04T02:29:41Z
dc.date.available2024-04-04T02:29:41Z
dc.date.issued2024-03-14
dc.identifier.issn0035-9254
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190199
dc.description.abstractEnThis article addresses a common type of data encountered in genomic studies, where a signal along a linear chromosome exhibits a hierarchical organization. We propose a novel framework to assess the significance of dissimilarities between two sets of genomic matrices obtained from distinct biological conditions. Our approach relies on a data representation based on trees. It utilizes tree distances and an aggregation procedure for tests performed at the level of leaf pairs. Numerical experiments demonstrate its statistical validity and its superior accuracy and power compared to alternatives. The method’s effectiveness is illustrated using real-world data from GWAS and Hi-C data.
dc.language.isoen
dc.publisherWiley
dc.rights.urihttp://hal.archives-ouvertes.fr/licences/copyright/
dc.subject.encophenetic distances
dc.subject.enmoderated t statistics
dc.subject.enp-value aggregation
dc.subject.entree distances
dc.title.enA two-sample tree-based test for hierarchically organized genomic signals
dc.typeArticle de revue
dc.identifier.doi10.1093/jrsssc/qlae011
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halInformatique [cs]/Modélisation et simulation
dc.subject.halMathématiques [math]
dc.subject.halSciences du Vivant [q-bio]/Biotechnologies
dc.subject.halStatistiques [stat]
bordeaux.journalJournal of the Royal Statistical Society: Series C Applied Statistics
bordeaux.pageqlae011
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-04516167
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04516167v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20the%20Royal%20Statistical%20Society:%20Series%20C%20Applied%20Statistics&rft.date=2024-03-14&rft.spage=qlae011&rft.epage=qlae011&rft.eissn=0035-9254&rft.issn=0035-9254&rft.au=NEUVIAL,%20Pierre&RANDRIAMIHAMISON,%20Nathana%C3%ABl&CHAVENT,%20Marie&FOISSAC,%20Sylvain&VIALANEIX,%20Nathalie&rft.genre=article


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