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Article

An 11-GRG Predicting Model for UCEC Prognosis

2023-09-18

Abstract excerpt

<h4>Background: </h4> Endometrial cancer (EC) is indeed one of the most prevalent gynecological malignancies. Further research is required to gain insights into the molecular pathways involved in EC tumorigenesis and to develop more accurate prognostic prediction methods. <h4>Method: </h4> Data from the Cancer Genome Atlas( TCGA) database was used and validated using two GEO datasets, specifically GSE6008 and GSE1...

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Literature Corpus work
53450f84-9eae-50c8-9958-7746975f0127
DOI
10.21203/rs.3.rs-3235391/v1
Open publication

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An 11-GRG Predicting Model for UCEC PrognosisDOI 10.21203/rs.3.rs-3235391/v1
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