Pepfeature 1.0.3

A package that consists of functions for calculating epitope/peptide features for prediction purposes (Feature calculation/extraction)

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Pepfeature (Alpha v 0.01): A package that consists of functions for calculating epitope/peptide features for prediction purposes

What is it

pepfeature is a Python package providing fast and flexible algorithms and functions for the feature calculation of epitope features which can be used for macine learning purposes such as classification for epitiope prediction.

Installation

[Documentation underconstruction]

Download pepfeature folder from this repo. You can use the pepfeature/examples.py script as a playing field.

Make sure you have the modules pandas and numpy installed.

(Tested on python 3.8)

How to use it

Ensure that any lines of code that utilize this package are encapsulated within the code block: if name == 'main':

Please see pepfeature/examples.py for example use cases.

Also see the attached API of each function/ algorithm, for a complete documentation.

Contributing to pepfeature

All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.