scperturb
A python package to compute E-distances in single-cell perturbation data and perform E-tests.
Install
Just install via pip:
pip install scperturb
Usage example
# E-distances
estats = edist(adata, obs_key='perturbation')
# E-distances to a specific group (e.g. 'control')
estats_control = estats.loc['control']
# E-test for difference to control
df = etest(adata, obs_key='perturbation', obsm_key='X_pca', dist='sqeuclidean', control='control', alpha=0.05, runs=100)
Check out notebooks --> e-distance for tutorial.
1 maintainer
Release files for scperturb 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scperturb-0.1.0.tar.gz | 7.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scperturb-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.0 kB
Release files / scperturb-0.1.0.tar.gz
| Download URL | scperturb-0.1.0.tar.gz |
|---|---|
| Size | 7.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / scperturb-0.1.0-py3-none-any.whl
| Download URL | scperturb-0.1.0-py3-none-any.whl |
|---|---|
| Size | 8.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.11.5
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