sc-graft
Early placeholder release. sc-graft — a single-cell Graph of
Receptors, pAthways, Factors and Targets — is a
biologically-grounded heterogeneous graph transformer for inferring how receptor
signaling propagates to target genes in single cells.
This pre-release ships only a small slice of the preprocessing layer: the external-prior loaders (STRING physical PPI, MSigDB gene sets, SCENIC regulons). The network-construction logic and the model itself are under active development and are not included yet.
from sc_graft import load_string_interactions, read_gmt, gmt_path, load_regulons
- Source / docs: https://github.com/ObKwon115/sc-graft
- License: MIT
1 maintainer
Release files for sc-graft 0.0.0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sc_graft-0.0.0.tar.gz | 3.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sc_graft-0.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.1 kB
Release files / sc_graft-0.0.0.tar.gz
| Download URL | sc_graft-0.0.0.tar.gz |
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| Size | 3.9 kB |
| Tags | Source |
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Release files / sc_graft-0.0.0-py3-none-any.whl
| Download URL | sc_graft-0.0.0-py3-none-any.whl |
|---|---|
| Size | 4.2 kB |
| Tags | Python 3 |
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