AllenInstitute / AllenInstitute/spatial_compare
heuristics and identifying cutoffs
Open
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 7
- Forks
- 8
- Avg merge
- 2h 24m
- Merged PRs (30d)
- 1
Description
current code flags datasets based on a fraction of tissue area where detection z score is below a threshold value.
Identify other ways this can be parameterized or determined
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no file, test, or entry point. Review the current logic that flags datasets using tissue-area fractions and detection z-score thresholds, then investigate alternative ways to parameterize or determine cutoffs. Done means documenting a specific approach and how its results should be evaluated.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- bioinformatics, data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100