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Updated: Jun 27, 2025

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
13:19

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

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免疫媒介和前列腺癌风险的遗传变异:使用贝叶斯计算的现场概要

Matheus Santos Freire1, André Victor de Oliveira Monteiro2, Tayane Moura Martins2

  • 1Post Graduation Program in Basic and Applied Immunology, Federal University of Amazonas, Manaus, Amazonas, Brazil.

Cytokine
|May 2, 2024
PubMed
概括

这项研究使用贝叶斯方法重新评估了免疫媒介和前列腺癌 (PCa) 风险的遗传变异. 关键发现确定了IL1B和IL18基因中的特定多态性,作为PCa的值得注意的生物标志物候选者.

关键词:
贝叶斯的方法是贝叶斯的方法.细胞因子细胞因子遗传多形态的遗传多形态.介质白血球蛋白 (Interleukins) 是一种细胞间的蛋白质.进行元分析分析.前列腺新生体前列腺瘤.

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