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

GRN multiprocessing and sparse matrix support #140

Merged
merged 7 commits into from
Feb 27, 2020
Merged

Conversation

cflerin
Copy link
Contributor

@cflerin cflerin commented Feb 19, 2020

Updates:

  • Added a helper script scripts/arboreto_with_multiprocessing.py that runs the Arboreto GRN algorithms (GRNBoost2, GENIE3) without Dask for compatibility.
  • Initial support for the use of sparse expression matrices (applies only to the GRN step in the CLI currently). Using sparse matrices with the GRN step requires a patch to Arboreto (https://github.com/tmoerman/arboreto/pull/20)

- requires setting "--client_or_address multiprocessing"
- Added CLI option --sparse
- Added option to loom load function that reads the expression matrix to
sparse (CSC) format. In this case, a tuple of expresion matrix, gene and
cell names is returned.
…of Dask"

This reverts commit bce2816.

- Arboreto multiprocessing will be used through the helper script instead of the cli
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

Successfully merging this pull request may close these issues.

2 participants