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

How DEXseq handles large samples #21

Open
zhang-HZAU opened this issue Aug 10, 2023 · 0 comments
Open

How DEXseq handles large samples #21

zhang-HZAU opened this issue Aug 10, 2023 · 0 comments

Comments

@zhang-HZAU
Copy link

Hello, DEXseq team,

I am currently using DEXseq for alternative splicing analysis. After reading the official documents and my own practical application, I found that when the sample size exceeds 20, the calculation will always stop at the DEXSeq() function. At present, BPPARAM = MultiCoreParam() has been used according to the document and genes with too many 0 values ​​have been deleted.

May I ask, can the BatchJobsParam() mentioned in the documentation for use with large samples provide instructions or examples for adapting to the DEXseq project?

Thanks in advance for any suggestions.

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