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Identifying Dendritic Cell–Related Genes Through a Co-Expression Network to Construct a 12-Gene Risk-Scoring Model for Predicting Hepatocellular Carcinoma Prognosis

机译：通过共表达网络鉴定树突细胞相关基因，构建12-基因的风险评分模型，用于预测肝细胞癌预后

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Chaoyuan Huang; Xiaotao Jiang; Yuancheng Huang; Lina Zhao; Peiwu Li; Fengbin Liu;
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1. Identifying Dendritic Cell–Related Genes Through a Co-Expression Network to Construct a 12-Gene Risk-Scoring Model for Predicting Hepatocellular Carcinoma Prognosis [J] . Chaoyuan Huang, Xiaotao Jiang, Yuancheng Huang, Frontiers in Molecular Biosciences . 2021,第a期

机译：通过共表达网络鉴定树突细胞相关基因，构建用于预测肝细胞癌预后的12-基因风险评分模型
2. Identification of 13 Key Genes Correlated With Progression and Prognosis in Hepatocellular Carcinoma by Weighted Gene Co-expression Network Analysis [J] . Yang Gu, Jun Li, Deliang Guo, Frontiers in Genetics . 2020,第1期

机译：通过加权基因共同表达网络分析鉴定13个关键基因与肝细胞癌的进展和预后相关
3. Co-expression Network Analysis Identifies Fourteen Hub Genes Associated with Prognosis in Clear Cell Renal Cell Carcinoma [J] . Jia-yi CHEN, Yan SUN, Nan QIAO, 当代医学科学(英文) . 2020,第004期

机译：共表达网络分析确定了与透明细胞肾细胞癌的预后相关的十四个枢纽基因。
4. Identifying Biomarkers of Hepatocellular Carcinoma Based on Gene Co-Expression Network from High-Throughput Data [C] . Ying Zhang, Zhiping Liu, ling-song Li MEDINFO . 2017

机译：基于高通量数据的基因共表达网络鉴定肝细胞癌的生物标志物
5. Role of chromatin remodeling in curcumin-mediated regulation of gene expression in hepatocellular carcinoma. [D] . Moghe, Akshata. 2012

机译：染色质重塑在姜黄素介导的肝细胞癌基因表达调控中的作用。
6. Identifying Dendritic Cell–Related Genes Through a Co-Expression Network to Construct a 12-Gene Risk-Scoring Model for Predicting Hepatocellular Carcinoma Prognosis [O] . Chaoyuan Huang, Xiaotao Jiang, Yuancheng Huang, 2021

机译：通过共表达网络鉴定树突细胞相关基因构建12-基因的风险评分模型用于预测肝细胞癌预后
7. Weighted miRNA co-expression networks analysis identifies circulating miRNA predicting overall survival in hepatocellular carcinoma patients [O] . Devis Pascut, Muhammad Yogi Pratama, Francesca Gilardi, 2020

机译：加权miRNA共表达网络分析识别预测肝细胞癌患者整体存活的循环miRNA

Identifying Dendritic Cell–Related Genes Through a Co-Expression Network to Construct a 12-Gene Risk-Scoring Model for Predicting Hepatocellular Carcinoma Prognosis

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