Abstract
Summary
PyGenePlexus is a Python package that enables a user to gain insight into any gene set of interest through a molecular interaction network informed supervised machine learning model. PyGenePlexus provides predictions of how associated every gene in the network is to the input gene set, offers interpretability by comparing the model trained on the input gene set to models trained on thousands of known gene sets, and returns the network connectivity of the top predicted genes.
Availability and implementation
https://pypi.org/project/geneplexus/ and https://github.com/krishnanlab/PyGenePlexus.
Supplementary information
Supplementary data are available at Bioinformatics online.
© The Author(s) 2023. Published by Oxford University Press.
2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
This work is licensed under a
Creative Commons Attribution 4.0 International License
.