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Identification of candidate miRNA biomarkers for pancreatic ductal adenocarcinoma by weighted gene co-expression network analysis

机译:加权基因共表达网络分析鉴定胰腺腺癌患者胰腺癌腺癌

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摘要

Purpose Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a dismal prognosis which is, among others, due to a lack of suitable biomarkers and therapeutic targets. Previously, basic gene expression analysis methods have been used for their identification, but recently new algorithms have been developed allowing more comprehensive data analyses. Among them, weighted gene co-expression network analysis (WGCNA) has already been applied to several cancer types with promising results.
机译:目的胰腺导管腺癌(PDAC)是一种高度激进的恶性肿瘤,其预后是由于缺乏合适的生物标志物和治疗靶标的预后。 以前,基本基因表达分析方法已被用于其识别,但最近已经开发了新的算法,允许更全面的数据分析。 其中,加权基因共同表达网络分析(WGCNA)已经应用于几种癌症类型,其结果具有很有希望的结果。

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