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Found 5 papers, 1 papers with code
Mixture of multilayer stochastic block models for multiview clustering
In this work, we propose an original method for aggregating multiple clustering coming from different sources of information.
Inference of Multiscale Gaussian Graphical Model
In a high-dimensional setting, when the number of variables exceeds the number of observations by several orders of magnitude, the estimation of GGM is a difficult and unstable optimization problem.
Accounting for missing actors in interaction network inference from abundance data
Network inference aims at unraveling the dependency structure relating jointly observed variables.
Applications Computation
Fast Computation of Genome-Metagenome Interaction Effects
Our focus is on detecting interactions between groups of genetic and metagenomic markers in order to gain a better understanding of the complex relationship between environment and genome in the expression of a given phenotype.
Sparsity by Worst-Case Penalties
We illustrate on real and artificial datasets that this accuracy is required to for the correctness of the support of the solution, which is an important element for the interpretability of sparsity-inducing penalties.
