Cargando…
Prediction and analysis of weighted genes in hepatocellular carcinoma using bioinformatics analysis
The aim of the present study was to identify the differentially expressed genes (DEGs) between primary tumor tissue and adjacent non-tumor tissue of hepatocellular carcinoma (HCC) samples in order to investigate the mechanisms of HCC. The microarray data of the datasets GSE76427, GSE84005 and GSE579...
Autores principales: | Zhang, Qifan, Sun, Shibo, Zhu, Chen, Zheng, Yujian, Cai, Qing, Liang, Xiaolu, Xie, Haorong, Zhou, Jie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423588/ https://www.ncbi.nlm.nih.gov/pubmed/30720105 http://dx.doi.org/10.3892/mmr.2019.9929 |
Ejemplares similares
-
Expression of Allograft Inflammatory Factor-1 (AIF-1) in Hepatocellular Carcinoma
por: Zhang, Qifan, et al.
Publicado: (2018) -
Integrated Proteomics and Bioinformatics to Identify Potential Prognostic Biomarkers in Hepatocellular Carcinoma
por: Zhang, Qifan, et al.
Publicado: (2021) -
Advanced oxidation protein products induce S-phase arrest of hepatocytes via the ROS-dependent, β-catenin-CDK2-mediated pathway
por: Sun, Shibo, et al.
Publicado: (2017) -
Identification of an eight-gene signature for survival prediction for patients with hepatocellular carcinoma based on integrated bioinformatics analysis
por: Qiao, Guo-jie, et al.
Publicado: (2019) -
Association between HMGA1 and immunosuppression in hepatocellular carcinoma: A comprehensive bioinformatics analysis
por: Zhu, Jie, et al.
Publicado: (2023)