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

Comparison of trajectories/DEGs for complex experimental designs #195

Open
JonasDBM opened this issue Jul 26, 2024 · 4 comments
Open

Comparison of trajectories/DEGs for complex experimental designs #195

JonasDBM opened this issue Jul 26, 2024 · 4 comments
Assignees

Comments

@JonasDBM
Copy link

Hi,

very cool preprint and tool!

I am curious to know if scLANE is capable of handling more complex experimental settings such as multi-condition, multi-timepoints, multi-sample scRNA seq datasets to compare DEGs along trajectories between multiple conditions.

Many thanks for your help!

Best,

Jonas

@rhondabacher
Copy link
Collaborator

Hi Jonas,

Thank you for the interest! Yes, scLANE can be used for this type of analysis. @jr-leary7 is out of the office this week, but when he returns he can send additional information and we'd be happy to set up a chat if it would be helpful to discuss further.

Best,
Rhonda

@JonasDBM
Copy link
Author

JonasDBM commented Aug 5, 2024

Hi Rhonda,

great, many thanks for your response and offer! Looking forward to hear from @jr-leary7 but no rush! :)

Best,

Jonas

@jr-leary7
Copy link
Owner

Hi @JonasDBM -- sorry for the late response ! I'd be happy to help you out with running scLANE. I would probably recommend the GLMM mode as a starting point for your use case, but if you can tell me more about your data I can help more !

@jr-leary7
Copy link
Owner

hi @JonasDBM - any updates / further questions ?

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