Predicting Phenotypes From High-Dimensional Genomes Using Gradient Boosting Decision Trees

Predicting Phenotypes From High-Dimensional Genomes Using Gradient Boosting Decision Trees

xsxsGenomic selection (GS) is an emerging technique for predicting unknown phenotypes using genome-wide marker coverage, allowing the use of efficient computational models to select individuals with high phenotypic values as candidate breeding populations. However, GS remains challenging inefficient...

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Bibliographic Details
Main Authors: Tingxi Yu, Li Wang, Wuping Zhang, Guofang Xing, Jiwan Han, Fuzhong Li, Chunqing Cao
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Genomic selection
gradient boosted decision tree
ensemble learning
phenotypic prediction
wheat
Online Access:https://ieeexplore.ieee.org/document/9765485/

Internet

https://ieeexplore.ieee.org/document/9765485/

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