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[…] (MM) were used. Statistically significant modules were defined as p<0.05., For validation, the GSE52903 and GSE7410 data were analyzed by GEO2R, which is an interactive web tool used to identify DEGs. The data for Pyeon cervical cancer were obtained from oncomine, which included 20 cancer cases and 8 normal cases., To better explore the biological significance of DEGs, enrichment of the functions and pathways was analyzed using clusterprofiler, a package with an analysis and visualization function to provide valuable information on the GO and KEGG analyses. A p-value <0.05 was considered a significant enrichment., The online database STRING was applied to construct a PPI network. The Cytoscape software was then employed to analyze the interactive relationship of the candidate proteins. The Molecular Complex Detection (MCODE), a plug-in used to score and find parameters that have been optimized to produce the best results for the network, was subsequently utilized to find clusters in the network., The key genes were identified as the intersecting genes of the Brown module of WGCNA and DEGs. The genes were then analyzed on UALCAN, a portal for facilitating tumor subgroup gene expression and survival analyses. Cervical cancer samples were divided into two groups: 1) high ANLN expression (with TPM values above upper quartile) and 2) low/medium ANLN expression (with TPM values below upper quartile). The survival curves of samples with high gene expression and low/medium gene expression were compared by the log rank test., p<0.05 was considered statistically significant., The DEGs of GSE29570 and GSE89657 were analyzed using the limma package following preprocessing and removing batch effects. Using p<0.05 and |logFC| ≥1.453 as the cutoff criteria, a total of 3 […]

Pipeline specifications

Software tools Cytoscape, MCODE, WGCNA