SCIV
SCIV: Unveiling the pivotal cell types involved in variant function regulation at a single-cell resolution
We propose SCIV, a method integrating cell cluster-type correction with a weighted seed-based random walk. By eliminating substantial noise from seed cells, SCIV enables the efficient enrichment of causal variants within cells of interest.
SCIV tutorial: https://sciv.readthedocs.io/en/latest/
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Release files for sciv 0.0.202
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| File | Size | Uploaded | Provenance | |
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| sciv-0.0.202.tar.gz | 120.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sciv-0.0.202-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 250.0 kB
Release files / sciv-0.0.202.tar.gz
| Download URL | sciv-0.0.202.tar.gz |
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| Size | 120.9 kB |
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Release files / sciv-0.0.202-py3-none-any.whl
| Download URL | sciv-0.0.202-py3-none-any.whl |
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| Size | 129.0 kB |
| Tags | Python 3 |
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