EasyPheno: An easy-to-use and easy-to-extend Python framework for phenotype prediction using Bayesian optimization.

ABSTRACT:

Summary

Predicting complex traits from genotypic information is a major challenge in various biological domains. With easyPheno, we present a comprehensive Python framework enabling the rigorous training, comparison and analysis of phenotype predictions for a variety of different models, ranging from common genomic selection approaches over classical machine learning and modern deep learning-based techniques. Our framework is easy-to-use, also for non-programming-experts, and includes an automatic hyperparameter search using state-of-the-art Bayesian optimization. Moreover, easyPheno provides various benefits for bioinformaticians developing new prediction models. easyPheno enables to quickly integrate novel models and functionalities in a reliable framework and to benchmark agains

SUBMITTER: Haselbeck F 

PROVIDER: S-EPMC10101695 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature