Functional enrichment analysis

Screening of differentially expressed genes between multiple trauma patients with and without sepsis

S. C. Ji, Pan, Y. T., Lu, Q. Y., Sun, Z. Y., and Liu, Y. Z., “Screening of differentially expressed genes between multiple trauma patients with and without sepsis”, vol. 13, pp. 1855-1864, 2014.

The purpose of this study was to identify critical genes associated with septic multiple trauma by comparing peripheral whole blood samples from multiple trauma patients with and without sepsis. A microarray data set was downloaded from the Gene Expression Omnibus (GEO) database. This data set included 70 samples, 36 from multiple trauma patients with sepsis and 34 from multiple trauma patients without sepsis (as a control set). The data were preprocessed, and differentially expressed genes (DEGs) were then screened for using packages of the R language.

Screening for feature genes associated with hereditary hemochromatosis and functional analysis with DNA microarrays

J. Wang, Zhou, X., Zhao, J., Li, Z., and Li, X., “Screening for feature genes associated with hereditary hemochromatosis and functional analysis with DNA microarrays”, vol. 12, pp. 6240-6248, 2013.

The aim of this study was to identify feature genes that are associated with hereditary hemochromatosis (HHC; iron overload) in cardiac and skeletal muscle of mice. First, the expression profile GSE9726 was downloaded from Gene Expression Omnibus database which included 12 samples. Then the differentially expressed genes (DEGs) were identified by R language. Furthermore, the KUPS software was used to identify relationships in interactions among common DEGs in the cardiac and skeletal muscles. We then used the EASE software to obtain enriched pathways in a gene interaction network.