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Updated: Jul 24, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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多输出和堆叠方法对基因型的料效率预测的影响,使用机器学习算法

Mónica Mora1,2, Pablo González3, José Ramón Quevedo3

  • 1Departamento de Ciencia Animal, Universidad Politècnica de València, Valencia, Spain.

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie
|July 5, 2023
PubMed
概括

提高牲畜的料效率至关重要. 这项研究发现,使用成分特征预测剩余料摄入量 (RFI) 与从猪基因型直接预测相比,并没有提高准确性.

关键词:
国家统一计划 (SNP) 是一个国家统一计划.人工智能的人工智能是人工智能.多个特征的多个特征.回归问题回归问题剩余料摄入量的剩余料摄入量堆叠堆叠 在堆叠堆叠.

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