Unveiling the pivotal cell types involved in variant function regulation at a single-cell resolution
Project description
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/
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file sciv-0.0.153.tar.gz.
File metadata
- Download URL: sciv-0.0.153.tar.gz
- Upload date:
- Size: 882.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
16776a442944a813bab438948609c2b20bf34b84fa7cb43068b253baac24603f
|
|
| MD5 |
66ccd19495fd61c3a7dc667f5a694e60
|
|
| BLAKE2b-256 |
356db56cb3157d48fb3aac4ad48fd77dc00745d585f52c52dc1b162c424c5faf
|
File details
Details for the file sciv-0.0.153-py3-none-any.whl.
File metadata
- Download URL: sciv-0.0.153-py3-none-any.whl
- Upload date:
- Size: 129.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
649414a98bad7d8a17982190ee1a3623ed8d2f005c8ce0747bb395d38a07f6d1
|
|
| MD5 |
5516d87a3ef0ff98b6b0c0998d3f53b9
|
|
| BLAKE2b-256 |
74da280c38f1b95a915a424f9e52b639974d7c36d8188cc64be0f80743cabc5b
|
