# Sample filter after min\_prevalence

**URL:** <https://forum.biobakery.org/t/sample-filter-after-min-prevalence/4456>\
**Category:** MaAsLin\
**Created:** [November 30, 2022, 2:51pm UTC](https://forum.biobakery.org/t/sample-filter-after-min-prevalence/4456 "2022-11-30T14:51:36Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![farmer2020](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.biobakery.org/farmer2020/32/673_2.png) [@farmer2020](https://forum.biobakery.org/u/farmer2020)\
**Post date:** [November 30, 2022, 2:51pm UTC](https://forum.biobakery.org/t/sample-filter-after-min-prevalence/4456/1 "2022-11-30T14:51:36Z")

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Hi, I am using MaAsLin2 which is a great tool. One sample question: after filtering the features based on min\_prevalence and min\_abundance as set, in same cases, some samples will have no any features left, how does MaAsLin2 deal with these samples, remove or keep them for subsequent analysis?  
Thanks  
Wang

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**Author:** ![andrewGhazi](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.biobakery.org/andrewghazi/32/2950_2.png) [@andrewGhazi](https://forum.biobakery.org/u/andrewGhazi)\
**Post date:** [December 6, 2022, 3:25pm UTC](https://forum.biobakery.org/t/sample-filter-after-min-prevalence/4456/2 "2022-12-06T15:25:15Z")

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MaAsLin2 doesn’t do any explicit checks for “seemingly empty” samples like you describe, so they will be kept among the inputs to the downstream modeling step.