Flaws with current approaches for normalization, PCA, and feature selection?
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- Python
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Description
I just saw this biorxiv manuscript and I was wondering if there are any ways to easily incorporate multinomial methods in scanpy
Feature Selection and Dimension Reduction for Single Cell RNA-Seq based on a Multinomial Model
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the linked biorxiv manuscript and comparing its multinomial approach with Scanpy's current normalization, PCA, and feature-selection workflows. Determine whether the proposed methods can be incorporated and document the required scope or implementation direction; the issue does not name specific files or tests.
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Assessment
- Tech stack
- python
- Domain
- bioinformatics, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100