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Identification of microbial interaction network: zero-inflated latent Ising model based approach
BACKGROUND: Throughout their lifespans, humans continually interact with the microbial world, including those organisms which live in and on the human body. Research in this domain has revealed the extensive links between the human-associated microbiota and health. In particular, the microbiota of t...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542390/ https://www.ncbi.nlm.nih.gov/pubmed/33042226 http://dx.doi.org/10.1186/s13040-020-00226-7 |