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Integrative Bioinformatic and Functional Analyses of Potential Genes in Female Patients with Non-Small-Cell Lung Cancer

2021-04-09

Abstract excerpt

<h4>Objective: </h4> To explore the pathogenesis and prognostic biomarkers of non-small-cell lung cancer (NSCLC) in female patients via a bioinformatic analysis and functional prediction of potential NSCLC-associated genes in females. <h4>Methods:</h4> Data for female patients with NSCLC were downloaded from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) were identified using...

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Literature Corpus work
a73f33c3-31c9-58bc-99c8-8bb828f158e4
DOI
10.21203/rs.3.rs-386332/v1
Open publication

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Integrative Bioinformatic and Functional Analyses of Potential Genes in Female Patients with Non-Small-Cell Lung CancerDOI 10.21203/rs.3.rs-386332/v1
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