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Article

Screening and identification of key biomarkers and related transcription factors in ovarian cancer by integrated bioinformatics analysis

2020-04-03

Abstract excerpt

<h4>Background: </h4> Ovarian tumors are the most malignant tumors of all gynecological tumors, and although multiple efforts have been made to elucidate the pathogenesis, the molecular mechanisms of ovarian cancer remain unclear. Methods In this study, we used bioinformatics to identify genes involved in the carcinogenesis and progression of ovarian cancer. Three microarray datasets (GSE14407, GSE29450, and GSE54...

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Literature Corpus work
e208fa8e-76e2-5b1b-aee2-f4c8a5e74676
DOI
10.21203/rs.3.rs-20327/v1
Open publication

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