AlexsLemonade / AlexsLemonade/refinebio

Handling of loop design microarray experiments

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#138 2 comments 0 reactions 0 assignees View on GitHub
agilent backlog exploration SCIENCE! (A.K.A. research question)
Dominant language
Python
Stars
135
Forks
21
PR merge metrics
No merged PRs in 30d

Description

### New Issue Checklist
- [x] The title is short and descriptive
- [x] The issue contains an:
- [x] Idea (new feature, user story, etc)
- [ ] Problem
- [x] You have explained the:
- [x] Context
- [x] Problem or idea
- [x] Solution or next step

### Context

A loop design (see the discussion around Fig 3 [here](https://discover.nci.nih.gov/microarrayAnalysis/Experimental.Design.jsp)) is a type of experimental design for two-color microarray experiments where each sample is labeled with both dyes and samples are directly compared to one another.

### Problem or idea

Loop designs have different considerations from reference designs. We ultimately might want to handle them differently.

### Solution or next step

It is okay to process these as single samples initially (with `SCAN::SCAN_TwoColor`, see #87). It will be an open research question to go back and see if we can improve upon this.

Contributor guide

No contributing guide indexed for this repository

Research direction

Start by reviewing the linked explanation of loop designs and the issue's reference to SCAN::SCAN_TwoColor. Compare the stated initial single-sample processing with the different considerations for loop and reference designs. The issue does not define a concrete implementation or completion criterion, so the desired handling remains an open research question.

Written by the indexing model from the issue text.

Assessment

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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