Features
ncem is a model repository in a single python package for the manuscript Fischer, D. S., Schaar, A. C. and Theis, F. Learning cell communication from spatial graphs of cells. 2021. (preprint)
Installation
You can install ncem via pip from PyPI:
$ pip install ncemCredits
This package was created with cookietemple using Cookiecutter based on Hypermodern_Python_Cookiecutter.
1 maintainer
Metadata
1 maintainer
Release files for ncem 0.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ncem-0.1.5.tar.gz | 105.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ncem-0.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 249.2 kB
Release files / ncem-0.1.5.tar.gz
| Download URL | ncem-0.1.5.tar.gz |
|---|---|
| Size | 105.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/4.0.2 CPython/3.9.17
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Release files / ncem-0.1.5-py3-none-any.whl
| Download URL | ncem-0.1.5-py3-none-any.whl |
|---|---|
| Size | 143.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.17
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