Transcriptional modules related to hepatocellular carcinoma survival： coexpression network analysis

We performed weighted gene coexpression network analysis (WGCNA) to gain insights into the molecular aspects of hepatocellular carcinoma (HCC). Raw microarray datasets (including 488 samples) were downloaded from the Gene Expression Omnibus (GEO) website. Data were normalized using the RMA algorithm...

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Veröffentlicht in:	Frontiers of medicine 2016-06, Vol.10 (2), p.183-190
Hauptverfasser:	Xu, Xinsen, Zhou, Yanyan, Miao, Runchen, Chen, Wei, Qu, Kai, Pang, Qing, Liu, Chang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Carcinoma, Hepatocellular - genetics coexpression Cyclin-dependent kinases Gene expression Gene Expression Profiling Gene Regulatory Networks hepatocellular carcinoma Humans Kinases Liver cancer Liver Neoplasms - genetics Medical prognosis Medicine Medicine & Public Health microarray module Oligonucleotide Array Sequence Analysis Prognosis Regression Analysis Research Article 丝氨酸蛋白酶抑制剂共表达基因表达模块细胞周期蛋白依赖性激酶网络分析肝癌转录
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