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Updated: Feb 20, 2026

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基于排名的学习:一种新的高通量算法,适应缺失的数据,对样本小的数据集有效

Lulu Song1, Hamid Khoshfekr Rudsari1, Johannes F Fahrmann2

  • 1Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Briefings in bioinformatics
|February 18, 2026
PubMed
概括

一种新的基于排名的学习 (RBL) 方法通过使用特征排名来改进omics数据分类,优于癌症数据集上的其他方法. 对于可靠的诊断工具,RBL提供了一个强大的方法.

关键词:
高吞吐量电脑的电脑组件.机器学习是机器学习.缺失的数据 缺失的数据基于等级的学习.

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