griffithlab / griffithlab/pVACtools
Evaluate MHCRank for integration
Open
Nobody has claimed this yet.
prediction_algorithms
- Dominant language
- Python
- Stars
- 188
- Forks
- 81
- Avg merge
- 9d 17h
- Merged PRs (30d)
- 6
Description
https://www.sciencedirect.com/science/article/pii/S2667237522001758
Improving MHC class I antigen-processing predictions using representation learning and cleavage site-specific kernels
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 paper on MHCRank and compare its stated inputs, outputs, and integration requirements with pVACtools. The issue does not name files, tests, or an entry point, and completion criteria for evaluating or integrating the method are not specified.
Written by the indexing model from the issue text.
Assessment
- 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