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Unveiling Key Feature Genes and Immune Infiltration Patterns in Cervical Cancer Through WGCNA, LASSO, and SVM-RFE Analysis

2024-11-06

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<title>Abstract</title> <p>Backgroud: This study seeks to uncover key gene patterns in Cervical cancer (CC), advance our understanding of its molecular mechanisms and inform more effective therapeutic strategies. Methods We analyzed data from the GEO database using differential expression analysis, GO, KEGG, GSEA, and DO pathways. Additionally, we employed WGCNA, LASSO, and SVM-RFE to identify feature genes. Th...

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Literature Corpus work
9454cf26-9e8b-5a49-86d5-971d42830b31
DOI
10.21203/rs.3.rs-5315419/v1
Open publication

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Unveiling Key Feature Genes and Immune Infiltration Patterns in Cervical Cancer Through WGCNA, LASSO, and SVM-RFE AnalysisDOI 10.21203/rs.3.rs-5315419/v1
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