-
Notifications
You must be signed in to change notification settings - Fork 12
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
multi sample/batch data #12
Comments
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Hi,
what is the best way to run SE_fun in the case of multiple samples/batches ?
do I run it on each sample, i.e. select genes with p.adj<0.05 (or similar) for each sample, than combine them all together or should I run it on then combined count matrix of all samples, i.e. assuming SE_fun is not affected by batch ?
Thanks
The text was updated successfully, but these errors were encountered: