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使用生物信息学和机器学习识别子宫中重要的诊断基因.

Hossein Valizadeh Laktarashi1, Milad Rahimi2, Kimia Abrishamifar3

  • 1Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Medical journal of the Islamic Republic of Iran
|June 9, 2025
PubMed
概括

新的生物标志物MEX3B,CTRP2 (C1QTNF2) 和AASS显示出早期诊断和改善子宫体子宫内膜癌 (UCEC) 的预后的希望. 生物信息学和深度学习为UCEC检测确定了这些关键基因.

关键词:
生物信息学分析生物标志物生物标志物深度学习是一种深度学习.在UCEC中,UCEC是最重要的.子宫体内膜癌子宫内膜癌.

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