# Number of significantly discriminative features: 8 ( 131 ) before internal wilcoxon

**URL:** <https://forum.biobakery.org/t/number-of-significantly-discriminative-features-8-131-before-internal-wilcoxon/7284>\
**Category:** LEfSe\
**Created:** [July 16, 2024, 7:56pm UTC](https://forum.biobakery.org/t/number-of-significantly-discriminative-features-8-131-before-internal-wilcoxon/7284 "2024-07-16T19:56:11Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![JUAN\_VICENTE\_VALOR](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.biobakery.org/juan_vicente_valor/32/2876_2.png) [@JUAN\_VICENTE\_VALOR](https://forum.biobakery.org/u/JUAN_VICENTE_VALOR)\
**Post date:** [July 16, 2024, 7:56pm UTC](https://forum.biobakery.org/t/number-of-significantly-discriminative-features-8-131-before-internal-wilcoxon/7284/1 "2024-07-16T19:56:11Z")

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Hi!  
I am trying to run the example you have on the web page. [http://galaxy.biobakery.org/](http://galaxy.biobakery.org/)  
Sample\_LefSe\_Input --\>hmp\_aerobiosis\_small

However I am retrieving this error in the step of running the LEfSe, which I do not know how to solve. I am new in LEfSe and trying to figure out how it works for some metabolomics and microbiota analysis. Thank you in advance.  
Kind regards.  
An error occurred with this dataset:  
Number of significantly discriminative features: 8 ( 131 ) before internal wilcoxon  
Traceback (most recent call last):  
File “/galaxy\_venv/bin/lefse\_run.py”, line 33, in   
sys.exit(load\_entry\_point(‘lefse==1.1.2’, ‘console\_scripts’, 'lefse\_ru

Juan Vicente-Valor  
Department of Biochemistry and Molecular Biology.  
Faculty of Pharmacy, Complutense University.  
Madrid, Spain

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**Author:** ![jianggb](https://avatars.discourse-cdn.com/v4/letter/j/4bbf92/32.png) [@jianggb](https://forum.biobakery.org/u/jianggb)\
**Post date:** [August 13, 2024, 3:26pm UTC](https://forum.biobakery.org/t/number-of-significantly-discriminative-features-8-131-before-internal-wilcoxon/7284/2 "2024-08-13T15:26:34Z")

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Has the problem been solved? If so, can you provide a solution? Thanks.
