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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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Bibliografiske detaljer
Principais autores: Samuel S. Minot, Bailey Garb, Alennie Roldan, Alice S. Tang, Tomiko T. Oskotsky, Christopher Rosenthal, Noah G. Hoffman, Marina Sirota, Jonathan L. Golob
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2023-11-01
Serier:Cell Reports: Methods
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Online adgang:http://www.sciencedirect.com/science/article/pii/S2667237523003107
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