E-Flux (combining Expression Data with Fluxes)
Package to run E-Flux on cobra models with provided transcriptomics expression data.
Getting Started 🏃
To get started run the following:
from eflux import eflux2
eflux2(cobra_model, transcriptomics)
Installation 🪛
The most recent code and data can be installed directly from GitHub with:
pip install git+https://github.com/pnnl-predictive-phenomics/eflux.git
License 📄
The code in this package is licensed under the BSD-2 License.
Contributing 👋
To contribute to this package, please reference CONTRIBUTING.md
Metadata
Release files for eflux 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 | |
|---|---|---|---|
| eflux-0.1.0.tar.gz | 19.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| eflux-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.7 kB
Release files / eflux-0.1.0.tar.gz
| Download URL | eflux-0.1.0.tar.gz |
|---|---|
| Size | 19.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.12.2
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Release files / eflux-0.1.0-py3-none-any.whl
| Download URL | eflux-0.1.0-py3-none-any.whl |
|---|---|
| Size | 6.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.12.2
|