Cargando…
Integrative Analysis of Microarray Data to Reveal Regulation Patterns in the Pathogenesis of Hepatocellular Carcinoma
BACKGROUND/AIMS: The integration of multiple profiling data and the construction of a transcriptional regulatory network may provide additional insights into the molecular mechanisms of hepatocellular carcinoma (HCC). The present study was conducted to investigate the deregulation of genes and the t...
Autores principales: | Chen, Juan, Qian, Zhenwen, Li, Fengling, Li, Jinzhi, Lu, Yi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Editorial Office of Gut and Liver
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221868/ https://www.ncbi.nlm.nih.gov/pubmed/27458175 http://dx.doi.org/10.5009/gnl16063 |
Ejemplares similares
-
Exploring the pathogenesis of colorectal carcinoma complicated with hepatocellular carcinoma via microarray data analysis
por: Gao, Tianqi, et al.
Publicado: (2023) -
Bioinformatics analysis of microarray data to reveal the pathogenesis of brain ischemia
por: He, Jiaxuan, et al.
Publicado: (2018) -
A transcriptome profile in hepatocellular carcinomas based on integrated analysis of microarray studies
por: Wang, Feifei, et al.
Publicado: (2017) -
Bioinformatics analysis of microarray data to reveal the pathogenesis of diffuse intrinsic pontine glioma
por: Wei, Li, et al.
Publicado: (2018) -
Expression Pattern of Long Non-Coding RNAs in Renal Cell Carcinoma Revealed by Microarray
por: Qin, Chao, et al.
Publicado: (2014)