We propose a new approach to model the collective dynamics of a population of particles
evolving with time. As is often the case in challenging scientific applications, notably single-cell …

We present a novel algorithm for significant pattern mining, Westfall-Young light. The target
patterns are statistically significantly enriched in one of two classes of objects. Our method …

We consider the task of inferring is-a relationships from large text corpora. For this purpose,
we propose a new method combining hyperbolic embeddings and Hearst patterns. This …

Predicting effects of gene regulatory elements (GREs) is a longstanding challenge in biology.
Machine learning may address this, but requires large datasets linking GREs to their …

In high-dimensional settings, where the number of features p is typically much larger than the
number of samples n, methods which can systematically examine arbitrary combinations of …

Motivation Genetic heterogeneity is the phenomenon that distinct genetic variants may give
rise to the same phenotype. The recently introduced algorithm Fast Automatic Interval …

Combinatorial association mapping aims to assess the statistical association of higher-order
interactions of genetic markers with a phenotype of interest. This article presents …

Single-cell omics technologies produce large quantities of data describing the genomic,
transcriptomic or epigenomic profiles of many individual cells in parallel. In order to infer …

Optimal transport tools (OTT-JAX) is a Python toolbox that can solve optimal transport problems
between point clouds and histograms. The toolbox builds on various JAX features, such …

We present a novel algorithm, Westfall-Young light, for detecting patterns, such as itemsets
and subgraphs, which are statistically significantly enriched in one of two classes. Our …