GP-ML-DC: An Ensemble Machine Learning-Based Genomic Prediction Approach with Automated Two-Phase Dimensionality Reduction via Divide-and-Conquer Techniques
Quanzhong Liu, Haofeng Ma, Zhuangbiao Zhang, Zhunhao Hu, Xihong Wang, Ran Li, Yudong Cai, Yu Jiang
GP-ML-DC improves genome prediction by combining machine learning and deep learning with a two-phase dimensionality reduction approach, outperforming existing methods on cattle milk traits.
bioRxiv · Dec 26, 2024 · PreprintBioinformatics