Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Univariate Analysis without Average Counts #21

Open
GlycineMax opened this issue Jun 8, 2021 · 0 comments
Open

Univariate Analysis without Average Counts #21

GlycineMax opened this issue Jun 8, 2021 · 0 comments

Comments

@GlycineMax
Copy link

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!

@GlycineMax GlycineMax changed the title Univariate Analysis without Univariate Analysis without Average Counts Jun 8, 2021
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant