AllenInstitute / AllenInstitute/cell_type_mapper
bootstrapping probability cutoff
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 55
- Forks
- 9
- PR merge metrics
- No merged PRs in 30d
Description
Hi there,
Thanks for this great tool! I am recently applying MapMyCell to a human cortex snRNA-seq data with the Siletti2024 taxonomy. My question is that how to select a reasonable bootstrapping-probability cutoff to retain only high quality mapping results?
Best,
Yang
Contributor guide
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 asks how to choose a bootstrapping-probability cutoff for MapMyCell results using the Siletti2024 taxonomy, but names no files, tests, or entry points. First clarify whether the desired outcome is user guidance or a documented default, then identify where cutoff behavior and Siletti2024 mapping are documented. Done means providing an agreed, reproducible cutoff rationale.
Written by the indexing model from the issue text.
Assessment
- Domain
- bioinformatics
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100