稀疏度规范化通过后勤回归增强了基因选择和白血病亚型分类

Nozad Hussein Mahmood1, Dler Hussein Kadir2

  • 1Department of Statistics and information, College of Administration and Economics, Salahaddin University-Erbil, Erbil, Iraq; Cihan University Sulaimaniya Research Center (CUSRC), Cihan University Sulaimaniya, Sulaymaniyah City, Kurdistan Region, Iraq.

Leukemia research
|February 15, 2025
PubMed
概括

像Elastic Net这样的稀疏度规范化方法可以从基因表达数据中改善白血病亚型的分类. 这些技术提高了准确性,并使得针对量身定制的癌症治疗能够有效地进行基因选择.

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