Unravelling the web of dark interactions: Explainable inference of the diversity of microbial interactions-Reference-Cited by-同舟云学术

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Unravelling the web of dark interactions: Explainable inference of the diversity of microbial interactions

Published:2023 Issue: Volume: Page:155-183
ISSN:0065-2504
Container-title:Advances in Ecological Research
language:
Short-container-title:

Author:

Barroso-Bergada Didac,Tamaddoni-Nezhad Alireza,Varghese Dany,Vacher Corinne,Galic Nika,Laval Valérie,Suffert Frédéric,Bohan David A.

Funder

Engineering and Physical Sciences Research Council

Agence Nationale de la Recherche

University of Surrey

Publisher

Elsevier

Reference68 articles.

1. Beneficial and harmful explanatory machine learning;Ai;Mach. Learn.,2021

2. Identification of Cladosporium delicatulum as a mycoparasite of Taphrina pruni;Amanelah Baharvandi;Arch. Phytopathol. Plant Prot.,2015

3. Isolation and characterization of a cold-tolerant strain of Fusarium proliferatum, a biocontrol agent of grape downy mildew;Bakshi;Phytopathology,2001

4. Microbial networks inferred from environmental DNA data for biomonitoring ecosystem change: strengths and pitfalls;Barroso-Bergadà;Mol. Ecol. Resour.,2021

5. Machine learning of microbial interactions using abductive ILP and hypothesis frequency/compression estimation;Barroso-Bergada,2022

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