Cargando…
Identification of genes and pathways associated with pancreatic ductal adenocarcinoma by bioinformatics analyses
This study aimed to explore the underlying genes and pathways associated with pancreatic ductal adenocarcinoma (PDAC) by bioinformatics analyses. Gene expression profile GSE43795 was downloaded from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) between six PDAC and...
Autores principales: | LONG, JIN, ZHANG, ZHONGBO, LIU, ZHE, XU, YUANHONG, GE, CHUNLIN |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4734321/ https://www.ncbi.nlm.nih.gov/pubmed/26893748 http://dx.doi.org/10.3892/ol.2015.4042 |
Ejemplares similares
-
Identification of disease-associated pathways in pancreatic cancer by integrating genome-wide association study and gene expression data
por: LONG, JIN, et al.
Publicado: (2016) -
Identification of Hub Genes in Pancreatic Ductal Adenocarcinoma Using Bioinformatics Analysis
por: Wang, Congcong, et al.
Publicado: (2021) -
Identification of key pathways and candidate genes in pancreatic ductal adenocarcinoma using bioinformatics analysis
por: He, Yiping, et al.
Publicado: (2019) -
Identification of potential target genes in pancreatic ductal adenocarcinoma by bioinformatics analysis
por: Tang, Yuchen, et al.
Publicado: (2018) -
Screening for genes and subnetworks associated with pancreatic cancer based on the gene expression profile
por: LONG, JIN, et al.
Publicado: (2016)