Inference of microbial interaction networks from large-scale heterogeneous abundance data
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Updated
Jun 6, 2024 - Julia
Inference of microbial interaction networks from large-scale heterogeneous abundance data
An open database of vertebrate-virus interactions
`ggbipart`, an R package for plotting bipartite networks
R package for bootstrapping indices of bipartite ecological networks
Networks. Boil 'em mash 'em stick 'em in a stew. And now, plot 'em.
📦 Occurrence / Co-occurrence / more
Computer labs and notebooks for the upcoming book "Practical Analysis of Ecological Networks"
Machine learning algorithms to infer trait‐matching and predict species interactions in ecological networks.
R package for building turnover saturation curves via bootstrapping
Compute the Robustness of Bipartite Ecological Network using the Latent Block Model
paper
R package associated with paper "Component response rate variation underlies the stability of highly complex finite systems" (Duthie, AB. 2020. Sci. Rep. 10:8296, https://www.nature.com/articles/s41598-020-64401-w). This repository contains all manuscript text and supplemental information, and all code for recreating analyses.
A updatet code for the paper Bastazini et al. 2017
👯 ☕ Where you lead, I will follow ☕ 👯
IoT CityHack Project with Zolertia Remote - Ecological Footprint
Red social sobre ecologistas, crea un espacio para compartir conocimiento y generar comunidades entorno al cuidado del medio ambiente.
Automated Translation of Network Data into Declaration Files Compatible with LIM and limSolve
Application of AI techniques to ecological data
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