The classical network inference pipeline.

<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...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Camille Champion (15238934) (author)
مؤلفون آخرون:	Raphaëlle Momal (16035125) (author), Emmanuelle Le Chatelier (28764) (author), Mathilde Sola (20396472) (author), Mahendra Mariadassou (197789) (author), Magali Berland (10072345) (author)
منشور في:	2024
الموضوعات:	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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

The classical network inference pipeline.

مواد مشابهة