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After conducting univariate analysis, RNA-SEq methods, metagenomeSeq, LEfSe, and others using an experimental factor with multiple groups, I do know when there is a difference among groups based on the p-value. However, I do not know what group is standing out, because there is not an average count in the download file. When using the web version, I can click and generate individual graphs, but after I finish my analysis and download all files, there is no way to know what taxa has higher counts.
Could you add columns indicating average counts to each taxon in addition to p-value in these analyses?
Thank you!
The text was updated successfully, but these errors were encountered:
GlycineMax
changed the title
Univariate Analysis without
Univariate Analysis without Average Counts
Jun 8, 2021
After conducting univariate analysis, RNA-SEq methods, metagenomeSeq, LEfSe, and others using an experimental factor with multiple groups, I do know when there is a difference among groups based on the p-value. However, I do not know what group is standing out, because there is not an average count in the download file. When using the web version, I can click and generate individual graphs, but after I finish my analysis and download all files, there is no way to know what taxa has higher counts.
Could you add columns indicating average counts to each taxon in addition to p-value in these analyses?
Thank you!
The text was updated successfully, but these errors were encountered: