Figure1 revised
2022-01-18 00:16:37 0 举报
Figure 1 version flowdigram
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GSE66354
GSE68015
Limma
RobustRankAggreg
Pathological analysis
A total of 22 candidate prognostic genes were identified.
Clinical data
2369DEGs
GSE16011
Extract duplicates
RNA sequencing data
2671DEGs
GSE94349
GEPIA (http://gepia.cancer-pku.cn/index.html)
GSE61335
KEGG pathway enrichment analysis
GSE86574
ldentifying2739DEGs(962 down-regulated and1777up-regulated genes) from TCGA
4068DEGs
Prognostic analysis
Nine datasets from GEO(A total of 601 samples)
LASSO regression
A total of 512 overlapping DEGs (212 down regulated and 300 up regulated genes )were identified by intersecting the results of integrated microarray and RNA sequencing data analysis
TCGA clinical data(528 samples)
STRING&Cytoscape PPI Network construction and Module Analysis
GSE111260
Gene Ontology(GO) Term enrichment analysis
GSE50161
1938DEGs
1816DEGs
2727DEGs
ldentifying 670 DEGs( 293 down-regulated and 377 up regulated genes) from 9 GEO datasets
GSE15824
Venn Diagram
3325DEGs
Univariate Coxproportional hazards regression analysis
Multivariate Coxproportional hazards regression analysis
1416DEGs
2990DEGs
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