Co-expression network

Protein-protein interaction network and mechanism analysis of hepatitis C

Y. Tang, Tang, Q., Dong, C., Li, X., Zhang, Z., and An, F., Protein-protein interaction network and mechanism analysis of hepatitis C, vol. 14, pp. 2069-2079, 2015.

We predicted potential genes and identified pathways associated with hepatitis C. The gene expression profiles of GSE40184 from blood samples and GSE38597 from liver biopsy samples were downloaded from the GEO database. Differentially expressed genes (DEGs) were recognized using the Limma Package. The Pearson correlation test was used to construct the co-expression network of DEGs. Gene set enrichment analysis was used to define significant functions and pathways for DEGs. A total of 165 DEGs in blood samples and 523 DEGs in liver biopsy samples were identified.

Screening of key genes of unruptured intracranial aneurysms by using DNA microarray data analysis techniques

L. Chen, Fan, Y., and Wan, J., Screening of key genes of unruptured intracranial aneurysms by using DNA microarray data analysis techniques, vol. 13, pp. 758-767, 2014.

This study aimed to identify differentially expressed genes (DEGs) of unruptured intracranial aneurysms (IAs) and provide beneficial information for early diagnosis and treatment of IAs. The gene expression profile GSE26969 from the Gene Expression Omnibus database was downloaded, which included six human IA samples: three intracranial arterial aneurysm samples and three normal superficial temporal artery samples (control). Based on these data, we identified the DEGs between normal and disease samples with packages in the R language.

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