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Updated: Jun 13, 2025

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在癌症基因组学研究中的强大的变量选择中,尖端和平板量子LASSO用于强大的变量选择

Yuwen Liu1, Jie Ren2, Shuangge Ma3

  • 1Department of Statistics, Kansas State University, Manhattan, Kansas, USA.

Statistics in medicine
|September 11, 2024
PubMed
概括

这项研究引入了一种强大的尖端和平板量子 LASSO 方法,以解决癌症基因组学中的数据不规则问题. 新方法改善了复杂特征的基因选择和预测建模,优于模拟和真实癌症数据分析中的现有方法.

关键词:
预期-最大化 (EM) 算法在LASSO的数量上.规范化的贝叶斯定量回归.强大的变量选择选择.在此之前,Spike-and-Slab公司的

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