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Updated: Jan 24, 2026

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识别多个预后生物标志物集用于SKCM中的风险分层

Shivani Malik1, Ritu Tomer1, Akanksha Arora1

  • 1Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India.

Frontiers in bioinformatics
|January 23, 2026
PubMed
概括

多个基因表达生物标记集准确地预测皮肤皮肤黑色素瘤 (SKCM) 的预后,为单个签名提供了灵活的替代方案. 这种方法提高了高风险患者的预后准确性和临床适用性.

关键词:
机器学习是机器学习.总体存活率 总体存活率预后生物标志物 预后生物标志物皮肤皮肤黑色素瘤生存分析,生存分析.

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