bowside
Biologically-inspired Optimization of regulatory Weights for Simulation and Inference via Differential Equations (bowside) is a method for GRN-driven mechanistic modeling of cell differentiation.
Installation
To use bowside, we recommend installing it in a fresh virtual environment with Python version ≥3.12. You can set up the environment as follows (for Python 3.12):
conda create -n <env_name> python=3.12
conda activate <env_name>
From PyPI
You can install the package directly from PyPI:
pip install bowside
Latest version from GitHub
Clone the repository:
git clone git@github.com:janschleicher/bowside.git
Change into the directory and install with pip:
cd bowside
pip install -e .
Contributing
For contributing, you should install bowside in development mode:
pip install -e ".[dev]"
This will install the additional dependencies ruff and pytest, which are used for formatting and code style, and testing, respectively. Please run these before commiting new code.
1 maintainer
Metadata
1 maintainer
Release files for bowside 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 | Provenance | Actions |
|---|---|---|---|---|
| bowside-0.1.0.tar.gz | 56.0 kB | Without provenance | Details for bowside-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| bowside-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for bowside-0.1.0-py3-none-any.whl |
Total release size: 103.0 kB
Release files / bowside-0.1.0.tar.gz
| Download URL | bowside-0.1.0.tar.gz |
|---|---|
| Size | 56.0 kB |
| Tags | Source |
|
SHA-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/7.0.0 CPython/3.12.14
|
Release files / bowside-0.1.0-py3-none-any.whl
| Download URL | bowside-0.1.0-py3-none-any.whl |
|---|---|
| Size | 47.0 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
Security for bowside 0.1.0
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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