AllenInstitute / AllenInstitute/spatial_compare

qc mask creation

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Dominant language
Jupyter Notebook
Stars
7
Forks
8
Avg merge
2h 24m
Merged PRs (30d)
1

Description

related to #7 and #9

determine a spatial mask within a dataset that excludes areas of low detection

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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.

Assessment

Tech stack
jupyter-notebook
Domain
bioinformatics
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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