MaLiAmPi enables generalizable and taxonomy-independent microbiome features from technically diverse 16S-based microbiome studies
Summary: For studies using microbiome data, the ability to robustly combine data from technically and biologically distinct microbiome studies is a crucial means of supporting more robust and clinically relevant inferences. Formidable technical challenges arise when attempting to combine data from t...
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| Huvudupphov: | , , , , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Elsevier
2023-11-01
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| Serie: | Cell Reports: Methods |
| Ämnen: | |
| Länkar: | http://www.sciencedirect.com/science/article/pii/S2667237523003107 |
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