The identification of robust and generalizable biomarkers based on microbial abundance data is a challenging task. An algorithm shows an enhanced classification performance by quantifying shifts in microbial co-abundances.
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References
Röttjers, L. & Faust, K. Nat. Methods 19, 51–54 (2022).
Xiao, L., Zhang, F. & Zhao, F. Nat. Comput. Sci. https://doi.org/10.1038/s43588-022-00247-8 (2022).
Salosensaari, A. et al. Nat. Commun. 12, 2671 (2021).
Gacesa, R. et al. Nature 604, 732–739 (2022).
Prlić, A. & Procter, J. B. PLoS Comput. Biol. 8, e1002802 (2012).
Huang, R. et al. F1000Research 9, 1246 (2021).
McMurdie, J. & Holmes, S. PLoS One. 8, e61217 (2013).
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Lahti, L. Enhancing biomarkers with co-abundance. Nat Comput Sci 2, 290–291 (2022). https://doi.org/10.1038/s43588-022-00254-9
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DOI: https://doi.org/10.1038/s43588-022-00254-9