Skip to content

This issue was moved to a discussion.

You can continue the conversation there. Go to discussion →

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

Question regarding the r2g/tf2g importance scores #67

Closed
psl-schaefer opened this issue Nov 15, 2022 · 0 comments
Closed

Question regarding the r2g/tf2g importance scores #67

psl-schaefer opened this issue Nov 15, 2022 · 0 comments

Comments

@psl-schaefer
Copy link
Collaborator

psl-schaefer commented Nov 15, 2022

If I understand the GENIE3/GRNboost algorithms correctly, we first we first normalize the variance per target to 1, such that the importance scores per target sum up to 1 (given that the prediction is almost perfect) which facilitates the comparison of importances score for different target genes.

Why do the importances scores per gene sum up to 1 in the region-gene data frame, but not in the tf-gene data frame?

This is for example how the sum of importances scores per gene looks like

image

@aertslab aertslab locked and limited conversation to collaborators Nov 23, 2022
@SeppeDeWinter SeppeDeWinter converted this issue into discussion #72 Nov 23, 2022

This issue was moved to a discussion.

You can continue the conversation there. Go to discussion →

Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant