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您的检索式：作者名="Mincheng Yang"
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| 1 | Systematic characterization of transport and thermoelectric properties of a macroscopic graphene fiber显示文摘Graphene,有非凡的电、热、有弹性的性能的二维的材料,是未来技术的一个潜在的候选人。然而, graphene 的优异性质还没为 graphenederived 被认识到宏观的结构象 graphene 纤维那样。在这研究,我们系统地调查了温度(T) 依赖者运输和 graphene 纤维的热电的性质,包括热传导性() ,电的电导率() ,并且 Seebeck 系数(S) 。从 45.8 ~ 149.7 Wd | Weigang Ma Yingjun Liu Shen Yan Tingting Miao Shaoyi Shi Mincheng Yang Xing Zhang Chao Gao | 2016 | Nano Research2016，9，11： | 6 |
| 2 | The mRNA–miRNA–lncRNA Regulatory Network and Factors Associated with Prognosis Prediction of Hepatocellular Carcinoma显示文摘The aim of this study was to identify novel prognostic mRNA and microRNA(miRNA)biomarkers for hepatocellular carcinoma(HCC)using methods in systems biology.Differentially expressed mRNAs,miRNAs,and long non-coding RNAs(lncRNAs)were compared between HCC tumor tissues and normal liver tissues in The Cancer Genome Atlas(TCGA)database.Subsequently,a prognosis-associated mRNA co-expression network,an mRNA–miRNA reg-ulatory network,and an mRNA–miRNA–lncRNA regulatory network were constructed to identify prognostic biomarkers for HCC through Cox survival analysis.Seven prognosis-associated mRNA co-expression modules were obtained by analyzing these differentially expressed mRNAs.An expression module including 120 mRNAs was significantly corre-lated with HCC patient survival.Combined with patient survival data,several mRNAs and miRNAs,including CHST4,SLC22A8,STC2,hsa-miR-326,and hsa-miR-21 were identified from the network to predict HCC patient prognosis.Clinical significance was investigated using tissue microarray analysis of samples from 258 patients with HCC.Functional annotation of hsa-miR-326 and hsa-miR-21-5p indicated specific associations with several cancer-related pathways.The present study provides a bioinformatics method for biomarker screening,leading to the identification of an integrated mRNA–miRNA–lncRNA regulatory network and their co-expression patterns in relation to predicting HCC patient survival. | Bo Hu Xiaolu Ma Peiyao Fu Qiman Sun Weiguo Tang Haixiang Sun Zhangfu Yang Mincheng Yu Jian Zhou Jia Fan Yang Xu | 2021 | Genomics, Proteomics & Bioinformatics2021，19，6： | 0 |
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