🚨 NEW PREPRINT 🚨 Happy to share our work with @ada_altieri & @SamirSuweis! We inferred the parameters of the Disordered Generalized Lotka-Volterra (dgLV) model to compare healthy and chronically inflamed gut microbiomes. 🧵A thread 🧵 arxiv.org/abs/2406.07465

We combined gathered metagenomic data from various experiments, e.g. the human microbiome project with plenty of metadata to distinguish heathy and diseased individuals. Secondly, we obtained all the taxonomic profiles. What about the theory? [1/n]

Lotka-Volterra model is a cornerstone of theoretical ecology, describing how the abundances of a local pool of species (S) evolve in time. However, it is typically unfeasible to fit all the O(S^2) parameters, especially with metagenomic data. What's the problem? [2/n]

Metagenomic data lack time resolution, so it is reasonable to assume that, at available sampling resolution, what we see is the dynamics at stationarity. This allows us to set dN/dt=0. The other key assumption is on the interactions. [3/n]