how to translate the copykat results to inferCNV i6 HMM (the six-state CNV model)
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- r
- Domain
- bioinformatics
Research direction
Start by reviewing how copykat represents CNV results and how inferCNV defines its six i6HMM states. No file, test, or entry point is named in the issue. Done means documenting whether and how copykat results map to the listed inferCNV states, including the handling of values above two copies.
Written by the indexing model from the issue text.
Description
Hi,
thanks for the cool software!
I would like to ask how to connect the copykat results into i6HMM state in inferCNV? Thanks!
0x: complete loss
0.5x: loss of one copy
1x: neutral
1.5x: addition of one copy
2x: addition of two copies
3x: essentially a placeholder for >2x copies but modeled as 3x.
- Dominant language
- R
- Stars
- 305
- Forks
- 66
- PR merge metrics
- No merged PRs in 30d
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.
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