Characteristics of the network inference methods.

Characteristics of the network inference methods.

<div><p>Modeling microbial interactions as sparse and reproducible networks is a major challenge in microbial ecology. Direct interactions between the microbial species of a biome can help to understand the mechanisms through which microbial communities influence the system. Most state-o...

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Bibliographic Details
Main Author: Camille Champion (15238934) (author)
Other Authors: Raphaëlle Momal (16035125) (author), Emmanuelle Le Chatelier (28764) (author), Mathilde Sola (20396472) (author), Mahendra Mariadassou (197789) (author), Magali Berland (10072345) (author)
Published: 2024
Subjects:
Microbiology
Genetics
Molecular Biology
Infectious Diseases
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
several statistically grounded
resulting network exhibited
onenet &# 8212
gut microbiome data
microbial communities influence
stability selection framework
slightly sparser networks
method generally led
consensus network inference
stability selection
synthetic data
present onenet
one network
inferred network
microbial species
microbial guild
microbial ecology
single method
resampling procedure
reproducible networks
reproducible edges
regularization parameter
often edges
major challenge
existing methods
direct interactions
different networks
cirrothic patients
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