Impact of Experimental Bias on Compositional Analysis of Microbiome Data

Microbiome data are subject to experimental bias that is caused by DNA extraction and PCR amplification, among other sources, but this important feature is often ignored when developing statistical methods for analyzing microbiome data. McLaren, Willis, and Callahan (2019) proposed a model for how s...

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Detalles Bibliográficos
Autores principales: Hu, Yingtian, Satten, Glen A., Hu, Yi-Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Brief Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530728/
https://www.ncbi.nlm.nih.gov/pubmed/37761917
http://dx.doi.org/10.3390/genes14091777

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530728/
https://www.ncbi.nlm.nih.gov/pubmed/37761917
http://dx.doi.org/10.3390/genes14091777

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