Cargando…
Weighted Gene Coexpression Network Analysis of Features That Control Cancer Stem Cells Reveals Prognostic Biomarkers in Lung Adenocarcinoma
Purpose We aimed to identify new prognostic biomarkers of lung adenocarcinoma (LUAD) based on cancer stem cell theory. Materials and Methods: RNA-seq and microarray data were obtained with clinical information downloaded from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) datab...
Autores principales: | Liao, Yi, Wang, Yulei, Cheng, Mengqing, Huang, Chengliang, Fan, Xianming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192063/ https://www.ncbi.nlm.nih.gov/pubmed/32391047 http://dx.doi.org/10.3389/fgene.2020.00311 |
Ejemplares similares
-
Bioinformatics Analysis Reveals Biomarkers With Cancer Stem Cell Characteristics in Lung Squamous Cell Carcinoma
por: Liao, Yi, et al.
Publicado: (2020) -
Transcriptional landscape of myasthenia gravis revealed by weighted gene coexpression network analysis
por: Zhang, Demin, et al.
Publicado: (2023) -
Exploration of Prognostic Biomarkers for Lung Adenocarcinoma Through Bioinformatics Analysis
por: Tu, Zhengliang, et al.
Publicado: (2021) -
Key Modules and Hub Genes Identified by Coexpression Network Analysis for Revealing Novel Biomarkers for Spina Bifida
por: Li, Zijian, et al.
Publicado: (2020) -
Identification of Novel Prognostic Biomarkers Relevant to Immune Infiltration in Lung Adenocarcinoma
por: Xia, Zhi, et al.
Publicado: (2022)