Multi-omic integration of microbiome data for identifying disease-associated modules
Abstract Multi-omic studies of the human gut microbiome are crucial for understanding its role in disease across multiple functional layers. Nevertheless, integrating and analyzing such complex datasets poses significant challenges. Most notably, current analysis methods often yield extensive lists...
| Auteurs principaux: | , , |
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| Format: | Article |
| Langue: | English |
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Nature Portfolio
2024-03-01
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| Collection: | Nature Communications |
| Accès en ligne: | https://doi.org/10.1038/s41467-024-46888-3 |