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

Identification of cancer-associated promoters #43

Open
alejandrogzi opened this issue Nov 5, 2022 · 0 comments
Open

Identification of cancer-associated promoters #43

alejandrogzi opened this issue Nov 5, 2022 · 0 comments

Comments

@alejandrogzi
Copy link

Hi @jleechung,

I am trying to reproduce part of the proActiv paper by combining different cancer/normal RNA-seq datasets. To identify cancer or pan-cancer associated promoters a batch effect removal is necessary; however, I am not quite sure how/when to apply limma using proActiv. Does integrateProactiv() function renormalization solve this?

Second, the linear models used in the paper to identify these promoters are used during proActiv default calculations or need to be specified somewhere?

Thanks in advanced,
Alejandro

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