3 papers
cs.LG2024
Mixture of multilayer stochastic block models for multiview clustering
Kylliann De Santiago, Marie Szafranski, Christophe Ambroise
In this work, we propose an original method for aggregating multiple clustering coming from different sources of information. Each partition is encoded by a co-membership matrix be…
stat.AP2018
Fast Computation of Genome-Metagenome Interaction Effects
Florent Guinot, Marie Szafranski, Julien Chiquet +4
Motivation. Association studies have been widely used to search for associations between common genetic variants observations and a given phenotype. However, it is now generally ac…
stat.ME2017
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…