Back to search

Article

Screening of Prognostic Molecular Markers and Establishment of Prognostic Model for G-protein Coupled Receptor-Related Genes in Epithelial Ovarian Serous Cancer Based on Machine Learning Method

2023-10-12

Abstract excerpt

<h4>Background: </h4> Ovarian cancer(OV) is one of the most common malignant tumors of the female reproductive system, five-year survival rate is in the low to mid 30% range, threatening the lives of female patients worldwide. Inefficient early diagnosis and prognostic prediction of OV leads to poor survival in most patients. G protein-coupled receptors (GPCRs) are currently the largest family of cell-surface rece...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
4361c4d9-923b-51a1-9094-d859fcf7db97
DOI
10.21203/rs.3.rs-3423830/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Screening of Prognostic Molecular Markers and Establishment of Prognostic Model for G-protein Coupled Receptor-Related Genes in Epithelial Ovarian Serous Cancer Based on Machine Learning MethodDOI 10.21203/rs.3.rs-3423830/v1
Select a neighboring publication to make it the new centre.