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

yeast->human #35

Open
animesh opened this issue Mar 18, 2018 · 3 comments
Open

yeast->human #35

animesh opened this issue Mar 18, 2018 · 3 comments
Labels

Comments

@animesh
Copy link

animesh commented Mar 18, 2018

what would be the recommended way to move the "dna repair" demo from yeast to human?

@michaelkyu
Copy link
Collaborator

This would be a non-trivial task because the current DCell model was trained on yeast. You would need to train a new DCell model using data in human cells.

@animesh
Copy link
Author

animesh commented Mar 19, 2018

ok, but what would it need in terms of input files? i have some free gpu time, can try to train, if could you tell me where to start from :)

@majianzhu
Copy link

  1. Prepare an ontology file to restrict the neural network structure. The file needs to have the same format as the example.
  2. Prepare a gene list to represent the gene deletions. Currently for memory issue, we only allow binary output. If you have any special real value input, please send me the file and I can help to adjust the code.
  3. Tune the hyper-parameters based on your data.
  4. Need some outside data to validate the state learned for each term as shown in the paper.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Projects
None yet
Development

No branches or pull requests

4 participants