griffithlab / griffithlab/pVACtools
Investigate adding support for EpiScan Predictor
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prediction_algorithms
- Dominant language
- Python
- Stars
- 188
- Forks
- 81
- Avg merge
- 9d 17h
- Merged PRs (30d)
- 6
Description
The data generated to train this algorithm have some qualitative differences from that used to train many other alghorithms. This may translate to added value.
Contributor guide
No contributing guide indexed for this repository
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 Nature paper to understand EpiScan Predictor and how its training data differ from other algorithms. Review the repository's existing predictor integrations, then define the required implementation scope and acceptance criteria before attempting support.
Written by the indexing model from the issue text.
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
- 25/100