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.

Sign up for GitHub

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

Jump to bottom

dispersion algorithm #252

Open
wangjiawen2013 opened this issue Mar 14, 2024 · 0 comments
Open

dispersion algorithm #252

wangjiawen2013 opened this issue Mar 14, 2024 · 0 comments

Comments

@wangjiawen2013
Copy link

Hi,
It is reported "Dispersion parameters are first estimated independently for each gene by fitting a negative binomial generalized linear model (GLM)" in pydeseq2 bioinformatics paper. Since I am not a statistician, I cannot understand the complicated statistics principle under pydeseq2 and DEA. However, I wanna know which group of samples are used to get dispersion, for example, if the control group contains three samples and the treatment group contains another three samples. Which samples will be used to calculate the dispersion ?
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@wangjiawen2013