Population-level Complex Phenotypic Intercellular signaling Linkage Analyzer
Project description
a multimodal computational framework designed to decompose phenotype-associated intercellular signaling. Guided by diverse phenotypes, PopCILA identifies phenotype-associated signaling at population scale—beginning with ligand–receptor interactions and extendable to downstream transcriptional cascades—and then projects these signals onto single-cell or spatial data to pinpoint specific cellular actors and tissue niches and to resolve intercellular signaling events that underlie phenotypic variation.
Project details
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 popcila-1.0.0.tar.gz.
File metadata
- Download URL: popcila-1.0.0.tar.gz
- Upload date:
- Size: 3.8 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e26cdd5ef3c560f48d4498abeeec2dd0d505abdcad99f71aef1b1e705ccc29cd
|
|
| MD5 |
57036f0285f3b5dab74f264ea00d2fc1
|
|
| BLAKE2b-256 |
27c63a1d2f4c23f4ce0b0a5cf1576c05813a8ae1aa117c0fa1acc9ad851ace3a
|
File details
Details for the file popcila-1.0.0-py3-none-any.whl.
File metadata
- Download URL: popcila-1.0.0-py3-none-any.whl
- Upload date:
- Size: 3.9 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e41302d467c950835993d24f79450e6f0a664e05900af2a7340b93177ea84738
|
|
| MD5 |
2eb6b4401cdfc656337d846504f01587
|
|
| BLAKE2b-256 |
064a69d8e16b1243df7e79c83f4c9239afa7ec61bcfa2891f0ca7da7ec658960
|