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优化模型性能和可解释性:适用于生物数据分类的应用

Zhenyu Huang1,2, Xuechen Mu2,3, Yangkun Cao4

  • 1College of Computer Science and Technology, Jilin University, Changchun 130012, China.

Genes
|March 28, 2025
PubMed
概括

本研究提出了转录基因数据分类的新框架,将高精度与可解释的结果平衡起来. 该方法通过优化特征选择和分类模型来增强生物数据分析.

关键词:
特性 基因选择 基因选择可以解释的解释性.机器学习是机器学习.模型选择,模型选择.

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