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

Two datasets used for 'Predicting multiple-genetic-perturbation outcomes' are actually single-genetic-perturbed #4

Open
chinaliye opened this issue Nov 28, 2024 · 1 comment

Comments

@chinaliye
Copy link

Hi, I read your recently published paper in which I saw 'To conduct this comprehensive comparison, we utilized preprocessed data from three distinct datasets: the PRJNA551220 dataset, the Perturb-CITE-seq dataset and the PRJNA787633 dataset.' However, after I checked the above datasets, I found that two datasets (i.e. Perturb-CITE-seq dataset and the PRJNA787633 dataset) were single-genetic-perturbed actually. Specifically, I extracted the obs dataframe from the h5ad files and found that each cell has only one gene perturbed. Please see the following graphs:
image
image
I will appreciate it if you can point out my misunderstanding about the above datasets and share your processed datasets which can be downloaded using git-lfs.

@GaoYiChengTJ
Copy link
Collaborator

Hi, thanks for your interest. The preprocessed datasets you indicated above are not used in our study and you can download these two datasets from their original studies (see Data availability in our paper). And you can find the preprocessed datasets used in this study in our Zenodo (https://zenodo.org/records/12779567).

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

2 participants