Application of gene marker combination in lung cancer screening and prognosis judgment
A marker and molecular marker technology, applied in the field of disease diagnosis, can solve the problems of lung injury, risk, and low sensitivity of ultrasound diagnosis
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[0047] Example 1 Gene markers related to diagnosis and prognosis of lung cancer
[0048] 1. Data download
[0049] The RNA-seq data and clinical information of lung adenocarcinoma were downloaded from the TCGA database. After removing the samples with missing survival information, the remaining sample size was paracancerous:carcinoma=59:500. The microarray data and clinical information of the GSE31210 dataset were downloaded from GEO, and the sample size was paracancerous:cancerous=20:226.
[0050] 2. Data standardization
[0051] For TCGA RNA-seq data, the Voom method was used for normalization, and for GEO chip data, the RMA method was used for normalization.
[0052] 3. Differential expression analysis
[0053] The "limma" package in R software was used for differential expression analysis, and the screening criteria for differential genes was adj.Pvalue1. Under this standard, there were 3948 differentially expressed genes in TCGA, 1504 upregulated differentially expres...
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