Recent Releases of PyDrugLogics: A Python Package for Predicting Drug Synergies Using Boolean Models
PyDrugLogics: A Python Package for Predicting Drug Synergies Using Boolean Models - Version 0.1.9 - Post-Review Refinement
This release finalizes pydruglogics for publication, with improvements to reliability, documentation, and project configuration.
Highlights: - Bug fixes in testing workflows - Updated packaging configuration - Revised JOSS paper
- Jupyter Notebook
Published by szlaura 9 months ago
PyDrugLogics: A Python Package for Predicting Drug Synergies Using Boolean Models - Version 0.1.8 - Initial Launch
This is the first official release of pydruglogics, a Python package designed for constructing and optimizing Boolean models and performing in-silico perturbations.
Key Features: - Construct Boolean model from .sif file - Load Boolan model from .bnet file - Optimize Boolean model - Generate perturbed models - Evaluate drug synergies
- Jupyter Notebook
Published by szlaura over 1 year ago
PyDrugLogics: A Python Package for Predicting Drug Synergies Using Boolean Models - Version 0.1.5 - Initial Launch
This is the first official release of pydruglogics, a Python package designed for constructing and optimizing Boolean models and performing in-silico perturbations.
Key Features: - Construct Boolean model from .sif file - Load Boolan model from .bnet file - Optimize Boolean model - Generate perturbed models - Evaluate drug synergies
- Jupyter Notebook
Published by szlaura over 1 year ago
PyDrugLogics: A Python Package for Predicting Drug Synergies Using Boolean Models - Version 0.1.5 - Initial Launch
This is the first official release of pydruglogics, a Python package designed for constructing and optimizing Boolean models and performing in-silico perturbations.
Key Features: - Construct Boolean model from .sif file - Load Boolan model from .bnet file - Optimize Boolean model - Generate perturbed models - Evaluate drug synergies
- Jupyter Notebook
Published by szlaura over 1 year ago