Glycosylation-Related Genes Predict the Prognosis and Immune Fraction of Ovarian Cancer Patients Based on Weighted Gene Coexpression Network Analysis (WGCNA) and Machine Learning.

Chen Zhao Kewei XiongFangrui ZhaoAbdalla Adam Xiangpan Li

Published in: Oxidative medicine and cellular longevity (2022)

The currently established risk scores based on GRmRNAs can accurately predict the prognosis, the immune microenvironment, and the immunotherapeutic efficacy of OC patients.

Keyphrases

network analysis
end stage renal disease
machine learning
newly diagnosed
ejection fraction
chronic kidney disease
stem cells
prognostic factors
magnetic resonance
dna methylation
artificial intelligence
patient reported outcomes
big data