Metadata-Version: 2.1
Name: pypef
Version: 0.2.2
Summary: A command-line interface (CLI) tool for performing data-driven protein engineering by building machine learning (ML)-trained regression models from sequence variant fitness data (in CSV format) based on different techniques for protein sequence encoding. Next to building pure ML models, 'hybrid modeling' is also possible using a blended model optimized for predictive contributions of a statistical and an ML-based prediction.
Home-page: https://github.com/niklases/PyPEF
Author: Niklas Siedhoff & Alexander-Maurice Illig
Author-email: n.siedhoff@biotec.rwth-aachen.de
License: CC BY-NC-SA 4.0
Keywords: Pythonic Protein Engineering Framework
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE.md

For detailed description including a short Jupyter Notebook-based tutorial please refer to the GitHub page.

