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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Materias: | |
| 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 |