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

Preprocessing/Hyperparameters of MEC and RNA-Imaging Experiments for SCOTv2 #13

Open
peterpaohuang opened this issue Sep 27, 2023 · 0 comments

Comments

@peterpaohuang
Copy link

Hi,

I'm hoping to reproduce the results of SCOTv2 on the MEC and RNA-Imaging datasets. I have a couple of questions:

(1) Where can I gain access to the MEC dataset (there were no links in the paper) and how did you preprocess this data? Was it conducted in the same way as SNARE-seq and scGEM?
(2) I tried replicating the results of the RNA-imaging dataset using SCOTv2's default parameters but was not able to achieve good metrics. Can you share the specific hyperparameters you used for this experiment? Additionally, was there any additional preprocessing that you took after the data loaders provided by https://github.com/uhlerlab/cross-modal-autoencoders/tree/master or did you directly use those tensor representations? For instance, did you do any of the same preprocessing steps you took in SNARE-seq/scGEM for the gene expression profiles of this dataset?

Thank you in advance for your guidance.

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