Nearing, J. T., Douglas, G. M., Hayes, M. G., MacDonald, J., Desai, D. K., Allward, N., Jones, C. M. A., Wright, R. J., Dhanani, A. S., Comeau, A. M., & Langille, M. G. I. (2022). Microbiome differential abundance methods produce different results across 38 datasets. Nature Communications, 13(1), Article 342. https://doi.org/10.1038/s41467-022-28034-z
Microbiome differential abundance methods produce different results across 38 datasets. / Nearing, Jacob T.
; Douglas, Gavin M.; Hayes, Molly G. et al.
In:
Nature Communications, Vol. 13, No. 1, 342, 12.2022.
Research output: Contribution to journal › Article › peer-review
Nearing, JT, Douglas, GM, Hayes, MG, MacDonald, J, Desai, DK, Allward, N, Jones, CMA, Wright, RJ, Dhanani, AS, Comeau, AM & Langille, MGI 2022, 'Microbiome differential abundance methods produce different results across 38 datasets', Nature Communications, vol. 13, no. 1, 342. https://doi.org/10.1038/s41467-022-28034-z
Nearing JT, Douglas GM, Hayes MG, MacDonald J, Desai DK, Allward N et al. Microbiome differential abundance methods produce different results across 38 datasets. Nature Communications. 2022 Dec;13(1):342. doi: 10.1038/s41467-022-28034-z
Nearing, Jacob T. ; Douglas, Gavin M. ; Hayes, Molly G. et al. / Microbiome differential abundance methods produce different results across 38 datasets. In: Nature Communications. 2022 ; Vol. 13, No. 1.
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