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Dataset Information

Identification of Key Genes and Pathways in Pancreatic Cancer Gene Expression Profile by Integrative Analysis.


ABSTRACT:

Background

Pancreatic cancer is one of the malignant tumors that threaten human health.

Methods

The gene expression profiles of GSE15471, GSE19650, GSE32676 and GSE71989 were downloaded from the gene expression omnibus database including pancreatic cancer and normal samples. The differentially expressed genes between the two types of samples were identified with the Limma package using R language. The gene ontology functional and pathway enrichment analyses of differentially-expressed genes were performed by the DAVID software followed by the construction of a protein-protein interaction network. Hub gene identification was performed by the plug-in cytoHubba in cytoscape software, and the reliability and survival analysis of hub genes was carried out in The Cancer Genome Atl

SUBMITTER: Lu W 

PROVIDER: S-EPMC6722756 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature