SCIV

SCIV: Unveiling the pivotal cell types involved in variant function regulation at a single-cell resolution

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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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Key dates

PyPI data
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  • Released:
Newer release available (0.0.196)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for yuzhengmin from gravatar.com yuzhengmin

Credits

Author: Zheng-Min Yu

License

MIT License (Copyright (c) 2024 Zheng-Min Yu Permission is hereby granted, free of charge, to any person obtaini...)

Requires

Python >=3.10

Tags

Causal variant Fine-mapping SCIV Single-cell epiomics Trait scATAC-seq

Classifiers

Report project as malware

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