Gradient Boosting Machine Learning Model for Defective Endometrial Receptivity Prediction by Macrophage-Endometrium Interaction Modules

BackgroundA receptive endometrium is a prerequisite for successful embryo implantation. Mounting evidence shows that nearly one-third of infertility and implantation failures are caused by defective endometrial receptivity. This study pooled 218 subjects from multiple datasets to investigate the ass...

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Hauptverfasser: Bohan Li, Hua Duan, Sha Wang, Jiajing Wu, Yazhu Li
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2022-05-01
Schriftenreihe:Frontiers in Immunology
Schlagworte:
immune infiltration
defective endometrial receptivity
infertility
Xgboost
machine learning
Online Zugang:https://www.frontiersin.org/articles/10.3389/fimmu.2022.842607/full
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