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
The Global Virome in One Network
`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"
R package for building turnover saturation curves via bootstrapping
Machine learning algorithms to infer trait‐matching and predict species interactions in ecological networks.
paper
Compute the Robustness of Bipartite Ecological Network using the Latent Block Model
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.
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
👯 ☕ Where you lead, I will follow ☕ 👯
Automated Translation of Network Data into Declaration Files Compatible with LIM and limSolve
A updatet code for the paper Bastazini et al. 2017
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