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Updated: Jan 13, 2026

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通过机器学习和生物信息学,揭示肝癌进展和死亡率中的风险因素和转录基因特征

Tania Akter Asa1,2, Md Ali Hossain1,3, Md Shahjahan Ali4

  • 1NanoBio Technology Center, Daffodil International University, Birulia, Savar, Dhaka-1216,  Bangladesh.

Briefings in functional genomics
|January 9, 2026
PubMed
概括

本研究使用综合计算框架确定肝癌 (LC) 进展的关键生物标志物和途径. 研究结果提供了对这种致命疾病的分子机制和潜在治疗策略的见解.

关键词:
这就是COX PH模型.在RNA-seqqq.临床因素 临床因素基因表达的基因表达方式肝癌 肝癌 是一种肝癌.分子路径的分子路径.有关风险因素的风险因素.生存分析,生存分析.

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