140 citations · 215 across the 18 of their papers we have counts for
7 papers · 1 filter
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…
Learning the optimal scale for GWAS through hierarchical SNP aggregation
Florent Guinot, Marie Szafranski, Christophe Ambroise +1
Motivation: Genome-Wide Association Studies (GWAS) seek to identify causal genomic variants associated with rare human diseases. The classical statistical approach for detecting th…
Incomplete graphical model inference via latent tree aggregation
Geneviève Robin, Christophe Ambroise, Stéphane Robin
Graphical network inference is used in many fields such as genomics or ecology to infer the conditional independence structure between variables, from measurements of gene expressi…
Defining a robust biological prior from Pathway Analysis to drive Network Inference
Marine Jeanmougin, Mickael Guedj, Christophe Ambroise
Inferring genetic networks from gene expression data is one of the most challenging work in the post-genomic era, partly due to the vast space of possible networks and the relative…
Inferring Multiple Graphical Structures
Julien Chiquet, Yves Grandvalet, Christophe Ambroise
Gaussian Graphical Models provide a convenient framework for representing dependencies between variables. Recently, this tool has received a high interest for the discovery of biol…
Overlapping stochastic block models with application to the French political blogosphere
Pierre Latouche, Etienne Birmelé, Christophe Ambroise
Complex systems in nature and in society are often represented as networks, describing the rich set of interactions between objects of interest. Many deterministic and probabilisti…