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
R package for bootstrapping indices of bipartite ecological networks
The Global Virome in One Network
Automated Translation of Network Data into Declaration Files Compatible with LIM and limSolve
Compute the Robustness of Bipartite Ecological Network using the Latent Block Model
A updatet code for the paper Bastazini et al. 2017
paper
Machine learning algorithms to infer trait‐matching and predict species interactions in ecological networks.
📦 Occurrence / Co-occurrence / more
`ggbipart`, an R package for plotting bipartite networks
Networks. Boil 'em mash 'em stick 'em in a stew. And now, plot 'em.
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.
R package for building turnover saturation curves via bootstrapping
Computer labs and notebooks for the upcoming book "Practical Analysis of Ecological Networks"
👯 ☕ Where you lead, I will follow ☕ 👯
Red social sobre ecologistas, crea un espacio para compartir conocimiento y generar comunidades entorno al cuidado del medio ambiente.
IoT CityHack Project with Zolertia Remote - Ecological Footprint
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