Machine Learning Reveals Missing Edges and Putative Interaction Mechanisms in Microbial Ecosystem Networks
ABSTRACT Microbes affect each other’s growth in multiple, often elusive, ways. The ensuing interdependencies form complex networks, believed to reflect taxonomic composition as well as community-level functional properties and dynamics. The elucidation of these networks is often pursued by measuring...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
American Society for Microbiology
2018
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| Accès en ligne: | https://doaj.org/article/eea9e7e7c3ba4e66ba4e2fcd9c5a3aba |
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