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

Running IKAP on fully processed Seurat project #12

Open
abedkurdi opened this issue Mar 4, 2021 · 2 comments
Open

Running IKAP on fully processed Seurat project #12

abedkurdi opened this issue Mar 4, 2021 · 2 comments

Comments

@abedkurdi
Copy link

Hello guys,
your tool is such a great tool. I would like to ask one question: I have applied IKAP on a Seurat object that was fully processed and filtered. what I mean by filtered is that I removed empty drops and removed doublets. Is it OK to apply IKAP on this final Seurat object? I did try to run it and it worked well, but I want to make sure I am using the tool in the correct way.

Thank you very much indeed!

@abedkurdi
Copy link
Author

I got the answer by myself: all I have to do is to set scale.data = FALSE, find.var.features = FALSE, as I have already scaled and found variable genes.

@abedkurdi abedkurdi reopened this Mar 30, 2021
@abedkurdi
Copy link
Author

Just to make sure I am not doing anything wrong: if I have already scaled the data, I use scale.data = FALSE, am I right?
What about if I am working on integrated data? I merged the data with normalized counts, so either I have to scale the data myself using Seurat and then call IKAP using scale.data = FALSE or I let IKAP scale the data using scale.data = TRUE, am I right?

Thanks in advance.

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