AlexsLemonade / AlexsLemonade/refinebio
GID Map processor for single experiments with multiple platforms
- Dominant language
- Python
- Stars
- 135
- Forks
- 21
- PR merge metrics
- No merged PRs in 30d
Description
### Context
Discussing with @jaclyn-taroni what we should do with #210 for milestone keytar kurt.
### Problem or idea
We should use our simple no-op processor (with gene ID mapping) on these cases for our June 1 goal.
### Solution or next step
We need to implement such a processor and apply it to any datasets that have multiple platforms and are not a superseries. Depends on #186
### New Issue Checklist
- [x] The title is short and descriptive.
- [x] You have explained the context that led you to write this issue.
- [x] You have reported a problem or idea.
- [x] You have proposed a solution or next step.
Contributor guide
No contributing guide indexed for this repository
Research direction
Review issues #186 and #210 first to understand the dependency and the intended handling of these experiments. Identify the existing simple no-op processor and the dataset-selection entry point, then verify that the processor is applied to datasets with multiple platforms that are not superseries.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- bioinformatics
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100