Screening of the prognostic targets for breast cancer based co-expression modules analysis.

Authors: Liu H, Ye H Abstract The purpose of the present study was to screen the prognostic targets for breast cancer based on a co-expression modules analysis. The microarray dataset GSE73383 was downloaded from the Gene Expression Omnibus (GEO) database, including 15 breast cancer samples with good prognosis and 9 breast cancer samples with poor prognosis. The differentially expressed genes (DEGs) were identified with the limma package. The Database for Annotation, Visualization and Integrated Discovery was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Furthermore, the co‑expression analysis of DEGs was conducted with weighted correlation analysis. The interaction associations were analyzed with the Human Prot...

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