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

Future TODOs #10

Open
lgeistlinger opened this issue Aug 6, 2018 · 4 comments
Open

Future TODOs #10

lgeistlinger opened this issue Aug 6, 2018 · 4 comments
Assignees

Comments

@lgeistlinger
Copy link
Collaborator

  • phenotype association: can R's own lm be used instead of plink (to avoid external dependencies)? Are results the same?
  • synchronize approach for phenotype association and expression association
  • can we make use of VariantExperiment?
@lgeistlinger
Copy link
Collaborator Author

  • multiple testing correction for eQTL studies

@viniciushdasilva
Copy link
Collaborator

LMM with correction for family structure

@d1eone
Copy link

d1eone commented Feb 2, 2022

Now that you support linear regression in base R, I was wondering if you could add the option to do logistic regression on a binary phenotype using a generalized linear model (glm function).

Implementing logistic regression (glm) looks like a very quick addition to your .fitGetPvalue function. I know that easier said than done with the scoping you have in your package, but I think it would add a lot to CNVRanger!

@lgeistlinger
Copy link
Collaborator Author

Thank you for the suggestion @d1eone. I am wondering whether you have any thoughts on this @viniciushdasilva?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

3 participants