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

Normalization in the presence of large fraction of dropouts #1

Open
lp2 opened this issue Jun 8, 2018 · 0 comments
Open

Normalization in the presence of large fraction of dropouts #1

lp2 opened this issue Jun 8, 2018 · 0 comments

Comments

@lp2
Copy link

lp2 commented Jun 8, 2018

The median normalization of read counts can give unexpected results if applied to experiments where a large fraction of gRNAs are not represented. A proposed solution is to add an additional parameter into the normalization step that aligns samples using information only from gRNAs with a minimum read count, e.g. 10.

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