Improving Genomic Prediction with Machine Learning Incorporating TPE for Hyperparameters Optimization

Improving Genomic Prediction with Machine Learning Incorporating TPE for Hyperparameters Optimization

Depending on excellent prediction ability, machine learning has been considered the most powerful implement to analyze high-throughput sequencing genome data. However, the sophisticated process of tuning hyperparameters tremendously impedes the wider application of machine learning in animal and pla...

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Bibliographic Details
Main Authors: Mang Liang, Bingxing An, Keanning Li, Lili Du, Tianyu Deng, Sheng Cao, Yueying Du, Lingyang Xu, Xue Gao, Lupei Zhang, Junya Li, Huijiang Gao
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Biology
Subjects:
hyperparameters optimization
tree-structured Parzen estimator
genomic prediction
machine learning
Online Access:https://www.mdpi.com/2079-7737/11/11/1647

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https://www.mdpi.com/2079-7737/11/11/1647

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