A two-sample tree-based test for hierarchically organized genomic signals
RANDRIAMIHAMISON, Nathanaël
Institut de Mathématiques de Toulouse UMR5219 [IMT]
Unité de Mathématiques et Informatique Appliquées de Toulouse [MIAT INRAE]
Institut de Mathématiques de Toulouse UMR5219 [IMT]
Unité de Mathématiques et Informatique Appliquées de Toulouse [MIAT INRAE]
CHAVENT, Marie
Méthodes avancées d’apprentissage statistique et de contrôle [ASTRAL]
Institut de Mathématiques de Bordeaux [IMB]
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Méthodes avancées d’apprentissage statistique et de contrôle [ASTRAL]
Institut de Mathématiques de Bordeaux [IMB]
RANDRIAMIHAMISON, Nathanaël
Institut de Mathématiques de Toulouse UMR5219 [IMT]
Unité de Mathématiques et Informatique Appliquées de Toulouse [MIAT INRAE]
Institut de Mathématiques de Toulouse UMR5219 [IMT]
Unité de Mathématiques et Informatique Appliquées de Toulouse [MIAT INRAE]
CHAVENT, Marie
Méthodes avancées d’apprentissage statistique et de contrôle [ASTRAL]
Institut de Mathématiques de Bordeaux [IMB]
< Reduce
Méthodes avancées d’apprentissage statistique et de contrôle [ASTRAL]
Institut de Mathématiques de Bordeaux [IMB]
Language
en
Article de revue
This item was published in
Journal of the Royal Statistical Society: Series C Applied Statistics. 2024-03-14p. qlae011
Wiley
English Abstract
This 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 ...Read more >
This 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.Read less <
English Keywords
cophenetic distances
moderated t statistics
p-value aggregation
tree distances
Origin
Hal imported