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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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Auteurs principaux: | , , , , , , |
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Format: | Artigo |
Langue: | Inglês |
Publié: |
IEEE
2022-01-01
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Collection: | IEEE Access |
Sujets: | |
Accès en ligne: | https://ieeexplore.ieee.org/document/9765485/ |
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