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Identification of molecular markers associated with the progression and prognosis of endometrial cancer: a bioinformatic study

19 Feb 2020

Abstract excerpt

BACKGROUND: Endometrial cancer (EC) is one kind of women cancers. Bioinformatic technology could screen out relative genes which made targeted therapy becoming conventionalized. METHODS: GSE17025 were downloaded from GEO. The genomic data and clinical data were obtained from TCGA. R software and bioconductor packages were used to identify the DEGs. Clusterprofiler was used for functional analysis. STRING was used...

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PMID: 32099532
DOI: 10.1186/s12935-020-1140-3

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