scverse / scverse/rapids-singlecell
Feature: Support infercnvpy
Open
Nobody has claimed this yet.
contribution welcome
enhancement
prio:medium
- Dominant language
- Python
- Stars
- 394
- Forks
- 52
- Avg merge
- 22h 5m
- Merged PRs (30d)
- 20
Description
Hello, I try to perform CNV detection with infercnvpy with rapids_singlecell integrated 1 M cells.
It still work slow.
Any suggestion to speed up the process of CNV detection?
Could rapids_singlecell add the CNV detection part (with GPU)?
Thanks!
Contributor guide
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
No files, tests, or entry points are identified. Start by reviewing how rapids_singlecell currently integrates with infercnvpy and define the GPU CNV-detection scope and performance target for a million-cell dataset before proposing implementation work.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- bioinformatics
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100