140 citations · 215 across the 18 of their papers we have counts for
20 papers
Inference of Multiscale Gaussian Graphical Model
Do Edmond Sanou, Christophe Ambroise, Geneviève Robin
Gaussian Graphical Models (GGMs) are widely used in high-dimensional data analysis to synthesize the interaction between variables. In many applications, such as genomics or image…
Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process
Antoine Bichat, Christophe Ambroise, Mahendra Mariadassou
Statistical testing is classically used as an exploratory tool to search for association between a phenotype and many possible explanatory variables. This approach often leads to m…
Accounting for missing actors in interaction network inference from abundance data
Raphaëlle Momal, Stéphane Robin, Christophe Ambroise
Network inference aims at unraveling the dependency structure relating jointly observed variables. Graphical models provide a general framework to distinguish between marginal and…
High heritability does not imply accurate prediction under the small additive effects hypothesis
Arthur Frouin, Claire Dandine-Roulland, Morgane Pierre-Jean +3
Genome-Wide Association Studies (GWAS) explain only a small fraction of heritability for most complex human phenotypes. Genomic heritability estimates the variance explained by the…
Tree-based Inference of Species Interaction Network from Abundance Data
Raphaëlle Momal, Stéphane Robin, Christophe Ambroise
The behavior of ecological systems mainly relies on the interactions between the species it involves. We consider the problem of inferring the species interaction network from abun…
Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics
Christophe Ambroise, Alia Dehman, Pierre Neuvial +2
Motivation: Genomic data analyses such as Genome-Wide Association Studies (GWAS) or Hi-C studies are often faced with the problem of partitioning chromosomes into successive region…