Network-based co-expression analysis for exploring the potential diagnostic biomarkers of metastatic melanoma.

ABSTRACT: Metastatic melanoma is an aggressive skin cancer and is one of the global malignancies with high mortality and morbidity. It is essential to identify and verify diagnostic biomarkers of early metastatic melanoma. Previous studies have systematically assessed protein biomarkers and mRNA-based expression characteristics. However, molecular markers for the early diagnosis of metastatic melanoma have not been identified. To explore potential regulatory targets, we have analyzed the gene microarray expression profiles of malignant melanoma samples by co-expression analysis based on the network approach. The differentially expressed genes (DEGs) were screened by the EdgeR package of R software. A weighted gene co-expression network analysis (WGCNA) was used for the identification of DEGs in the

SUBMITTER: Wang LX 

PROVIDER: S-EPMC5788335 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature