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Co-authored-by: Greg Caporaso <192372+gregcaporaso@users.noreply.github.com>
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cherman2 and gregcaporaso authored Jan 5, 2024
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rarefaction
An iterative technique to minimize uneven sampling depth. First, :term:
`rarefy` a feature table. Second, use the table to
run diversity metrics. Third, rarefy and run diversity
metrics for multiple iterations (typically 100 or 1000) and lastly,
An iterative technique to minimize effects of controlling for uneven
sampling depth where a feature table is :term:`rarefied<rarefy>`
multiple times (typically 100 or 1000), and diversity
metrics are applied to each rarefied table and subsequently used to
compute summary statistics. See `Schloss (2024) <https://doi.org/10.1128/msphere.00355-23>` for additional information.

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