AlexsLemonade / AlexsLemonade/refinebio

GID Map processor for single experiments with multiple platforms

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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

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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

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