how to create negative samples?
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- jupyter-notebook, python
- Domain
- bioinformatics, machine-learning
Research direction
The issue does not name a file, test, or entry point. Start by reviewing the cited negative-sample generation description and the workflow for removing regions similar to MIBiG; document how negative samples are constructed and whether alternate sample counts are supported. Done means the procedure and training-data assumptions are clear.
Written by the indexing model from the issue text.
Description
"To generate a single negative sample, a random reference bacterium and a random sample from the positive ClusterFinder set were selected. Each gene in the positive sample was replaced with a random gene from the reference bacteria, while considering only 1% of genes that were most similar in number of Pfam domains. In total, three samples were generated from each reference bacteria, producing 10 128 negative samples."
In theory, a lot of negative samples can be created. Have you tried to generate other numbers of negative samples for training?
And I don't figure out how to create a negative sample. In the above description, the operation object seems to be positive sample instead of reference bacteria.After removing the regions similar to MIBiG,How did you create negative samples？
Thank you very much!
- Dominant language
- Jupyter Notebook
- Stars
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- Forks
- 29
- PR merge metrics
- No merged PRs in 30d
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