nasa / nasa/GeneLab_Data_Processing
Parallelize and optimize Wald test and group statistics
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- Dominant language
- Jupyter Notebook
- Stars
- 125
- Forks
- 65
- PR merge metrics
- No merged PRs in 30d
Description
With large number of groups this step can be prohibitively slow
For Wald test, a parallel computation would be helpful.
For group statistics, both parallel and a switch to vector based computation will be helpful.
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First steps
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Research direction
The issue names no files, tests, or entry points. Locate the Wald test and group statistics steps in the pipeline, measure their behavior with many groups, and define done as faster execution through parallel Wald computation plus parallel or vector-based group statistics.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- bioinformatics, performance
- Issue type
- Refactor
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100