221 citations · 360 across the 12 of their papers we have counts for
6 papers · 1 filter
Leveraging hologenomic data for phenotypic prediction: potential and pitfalls
Sol{è}ne Pety, Ingrid David, Andrea Rau +1
The microbiota is increasingly recognized as an active component of host biology, influencing various host phenotypes. Advances in high-throughput sequencing and the emergence of t…
Simulating transgenerational hologenomes under selection with RITHMS
Solène Pety, Ingrid David, Andrea Rau +1
A holobiont is made up of a host organism together with its microbiota. In the context of animal breeding, the holobiont can be viewed as the single unit upon which selection opera…
Evaluating Parameter Uncertainty in the Poisson Lognormal Model with Corrected Variational Estimators
Bastien Batardière, Julien Chiquet, Mahendra Mariadassou
Count data analysis is essential across diverse fields, from ecology and accident analysis to single-cell RNA sequencing (scRNA-seq) and metagenomics. While log transformations are…
Zero-inflation in the Multivariate Poisson Lognormal Family
Bastien Batardière, Julien Chiquet, François Gindraud +1
Analyzing high-dimensional count data is a challenge and statistical model-based approaches provide an adequate and efficient framework that preserves explainability. The (multivar…
Variational inference for sparse network reconstruction from count data
Julien Chiquet, Mahendra Mariadassou, Stéphane Robin
In multivariate statistics, the question of finding direct interactions can be formulated as a problem of network inference - or network reconstruction - for which the Gaussian gra…
Variational inference for probabilistic Poisson PCA
Julien Chiquet, Mahendra Mariadassou, Stéphane Robin
Many application domains such as ecology or genomics have to deal with multivariate non Gaussian observations. A typical example is the joint observation of the respective abundanc…