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Updated: Jun 11, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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Published on: October 11, 2018

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优化癌症分类:用于特征选择和预测洞察力的混合RDO-XGBoost方法

Abrar Yaqoob1, Navneet Kumar Verma2, Rabia Musheer Aziz3

  • 1VIT Bhopal University's School of Advanced Science and Language, Located at Kothrikalan, Sehore, Bhopal, 466114, India. abraryaqoob77@gmail.com.

Cancer immunology, immunotherapy : CII
|October 9, 2024
PubMed
概括

这项研究引入了一种新方法,将随机漂移优化 (RDO) 与 XGBoost 结合起来,用于癌症生物标志物发现. 该方法提高了癌症分类的准确性,并确定了用于改进分析的关键基因.

关键词:
癌症的分类 癌症的分类功能选择 功能选择微阵列数据分析数据分析.随机漂移优化优化 随机漂移优化在XGBoost中使用.

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