Biomarkers for diagnosing endometrial cancer as well as product and application thereof
A biomarker and endometrial cancer technology, applied in the field of biomarkers for the diagnosis of endometrial cancer, can solve the problems of incompletely clear molecular mechanism, physiological pain of patients, low detection rate, etc., and achieve good diagnostic efficiency Effect
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[0077] Example 1 Screening for differentially expressed genes in endometrial cancer
[0078] 1. Data source
[0079] Download the endometrial cancer (UCEC) data set GSE17025 from the GEO database as a training set, and the sample size is Control: UCEC=12:91;
[0080] Download the endometrial cancer data (UCEC data) from the TCGA database as a validation set with a sample size of Control: UCEC=35:543;
[0081] The above raw data downloaded from the GEO database and the TCGA database were standardized, and the standardized gene expression matrix was annotated through the Platform file. If multiple probes correspond to the same gene, the average value was taken as the expression level of the gene .
[0082] 2. Differential expression analysis
[0083] The "limma" package in the R language software was used to analyze the differential expression of the above training set and validation set, and the screening criteria for differentially expressed genes were: adj.P.Val1.
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