qc mask creation
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- jupyter-notebook
- Domain
- bioinformatics
Research direction
Start by reading related issues #7 and #9 to understand the dataset and how low detection is defined. No file, test, or entry point is named; done means producing a spatial mask that excludes areas of low detection within a dataset.
Written by the indexing model from the issue text.
Description
related to #7 and #9
determine a spatial mask within a dataset that excludes areas of low detection
- Dominant language
- Jupyter Notebook
- Stars
- 7
- Forks
- 8
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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