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

Questions about using MOFA with bulk RNA-seq deconvolution results and uneven view sizes #167

Open
doctorfaraday520 opened this issue Sep 15, 2024 · 0 comments

Comments

@doctorfaraday520
Copy link

First of all, thank you for creating such an excellent R package. We've encountered several questions while using it:

  1. Are there any potential issues with using genes obtained from bulk RNA-seq deconvolution (such as BayesPrism )as input for MOFA?

  2. Is it possible to input views with different numbers of features into MOFA? For example, if one view has 1000 features while another has 500 features.

We appreciate any insights or guidance you can provide on these matters. Thank you for your time and support!

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