32 citations · 76 across the 6 of their papers we have counts for
7 papers
Quantifying the overall effect of biotic interactions on species distributions along environmental gradients
Marc Ohlmann, Catherine Matias, Giovanni Poggiato +3
Separating environmental effects from those of interspecific interactions on species distributions has always been a central objective of community ecology. Despite years of effort…
Nine Quick Tips for Analyzing Network Data
Stephane Robin, Vincent Miele, Catherine Matias +1
These tips provide a quick and concentrated guide for beginners in the analysis of network data.
Revealing the hidden structure of dynamic ecological networks
Vincent Miele, Catherine Matias
Recent technological advances and long-term data studies provide interaction data that can be modelled through dynamic networks, i.e a sequence of different snapshots of an evolvin…
Statistical clustering of temporal networks through a dynamic stochastic block model
Catherine Matias, Vincent Miele
Statistical node clustering in discrete time dynamic networks is an emerging field that raises many challenges. Here, we explore statistical properties and frequentist inference in…
Navigating in a sea of repeats in RNA-seq without drowning
Gustavo Sacomoto, Blerina Sinaimeri, Camille Marchet +3
The main challenge in de novo assembly of NGS data is certainly to deal with repeats that are longer than the reads. This is particularly true for RNA- seq data, since coverage inf…
Spatially-constrained clustering of ecological networks
Vincent Miele, Franck Picard, Stéphane Dray
Spatial ecological networks are widely used to model interactions between georeferenced biological entities (e.g., populations or communities). The analysis of such data often lead…
Strategies for online inference of model-based clustering in large and growing networks
Hugo Zanghi, Franck Picard, Vincent Miele +1
In this paper we adapt online estimation strategies to perform model-based clustering on large networks. Our work focuses on two algorithms, the first based on the SAEM algorithm,…