Precision—Recall curves of each method and TPR/PPV compromise chosen by stability, mean stability and BIC when <i>n</i> = 100 after filtering the dataset to keep only species with prevalence higher than a given threshold.

Precision—Recall curves of each method and TPR/PPV compromise chosen by stability, mean stability and BIC when <i>n</i> = 100 after filtering the dataset to keep only species with prevalence higher than a given threshold.

<p>(a)0.20 (b)0.50 (c)0.8 (d)0.9 (see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012627#pcbi.1012627.g003" target="_blank">Fig 3</a> for details).</p> <p>(TIF)</p>

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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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