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首页> 外文会议>IEEE International Conference on Bioinformatics and Bioengineering >miRNA Based Pathway Analysis Tool in Nephroblastoma as a Proof of Principle for other Cancer Domains
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miRNA Based Pathway Analysis Tool in Nephroblastoma as a Proof of Principle for other Cancer Domains

机译：基于MiRNA的肺细胞瘤的途径分析工具作为其他癌症域的原理证据

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Wilms tumor, or nephroblastoma, is a cancer of the kidneys that typically occurs in children and rarely in adults. Around 10% of Wilms tumor patients are diagnosed having a concurrent syndrome that enhances the risk of Wilms tumor. A screening method for early detection of Wilms tumor in these patients would be beneficial, since the size or stage of a tumor is related to outcome. We introduce a miRNA pathway analysis methodology that takes into account the topology and regulation mechanisms of the gene regulatory networks and identify disrupted sub-paths in known pathways, using miRNA- expressions. The methodology was applied on a miRNA-expression study and a predictive model was developed, using machine-learning (decision-tree induction) approaches. The model is able to identify putative mechanisms that underlie and govern the Wilms tumor phenotype, and discriminate between diseased and healthy subjects. Initial experimental results are promising and in line with the relevant biomedical literature.
机译：Wilms肿瘤或肾细胞瘤是一种肾脏的癌症，通常发生在儿童中，很少在成年人中。诊断患有大约10％的威尔姆斯肿瘤患者具有同时综合征，可增强胰肿瘤的风险。用于早期检测这些患者的威尔斯肿瘤的筛选方法是有益的，因为肿瘤的大小或阶段与结果有关。我们介绍了MiRNA途径分析方法，其考虑了基因调节网络的拓扑和调节机制，并使用miRNA表达识别已知途径中的破坏子路径。该方法应用于MiRNA表达研究，使用机器学习（决策 - 树诱导）方法开发了预测模型。该模型能够识别提出的推定机制并控制威尔斯肿瘤表型，并鉴别患病和健康受试者。初始实验结果是有前途的，并符合相关的生物医学文献。

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