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一种用于预测人类乳头瘤病毒瘤类型的新方法

Songül Çeçen Kaynak1, Hilal Arslan2

  • 1Department of Computer Engineering, Ankara Yıldırım Beyazıt University, Ankara 06010, Türkiye.

Diagnostics (Basel, Switzerland)
|December 11, 2025
PubMed
概括

一个新的机器学习模型通过癌症风险准确地分类人类乳头瘤病毒 (HPV) 基因型. 这种方法使用基因组数据和新的监管特征,为识别高风险HPV类型提供了可扩展的解决方案.

关键词:
这是一个CAAT-box功能.CpG岛屿的特点是CpG岛屿的特点.这是一个TATA-box功能.高风险的HPV感染者机器学习是机器学习.

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