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Identification and validation of hub genes based on machine learning in prostate cancer and AOX1 is an oxidative stress-related biomarker

2022-12-12

Abstract excerpt

<title>Abstract</title> <p> <bold>Objectives</bold> To explore the potential diagnostic and prognostic biomarkers associated with prostate cancer (PCa). <bold>Methods</bold> We downloaded from the Gene Expression Omnibus (GEO) database, six previously published datasets containing gene expression data (GSE8511, GSE14206, GSE46602, GSE55945, GSE69223, and GSE71016). Take GSE8511, GSE14206, GSE46602, and GSE559...

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Literature Corpus work
2df50590-03bc-5d7a-ae67-f9505cb9bb89
DOI
10.21203/rs.3.rs-1503908/v2
Open publication

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Identification and validation of hub genes based on machine learning in prostate cancer and AOX1 is an oxidative stress-related biomarkerDOI 10.21203/rs.3.rs-1503908/v2
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