KeySDL: sparse dictionary learning for keystone microbe identification from steady-state observations using a dynamical-systems model
Abstract Background Identification of microbes with large impacts on their microbial communities, known as keystone microbes, is a topic of long-standing interest in microbiome research. However, many approaches to identify keystone microbes are limited by the inherent nonlinearity and state-depende...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BMC
2026-02-01
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| Col·lecció: | BioData Mining |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s13040-026-00527-3 |
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