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Additional file 1 of Gene model-related m6A expression levels predict the risk of preeclampsia

NIAID Data Ecosystem2026-03-13 收录

数据链接：

https://figshare.com/articles/dataset/Additional_file_1_of_Gene_model-related_m6A_expression_levels_predict_the_risk_of_preeclampsia/19719971 数据链接链接失效反馈

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资源简介：

Additional file 1: Table S1.The number of genes in each module.

应用场景：

创建时间：

2022-05-05

妊娠免疫学

子痫前期风险预测

We report abnormal pregnancy outcomes in mice lacking NKG2A, including altered placental transcription. In humans, we find HLAB-21T snp to be associated with an increased risk of pre-eclampsia. Overal

NIAID Data Ecosystem20

Early Prediction of Preeclampsia via Machine Learning

子痫前期风险预测

产前健康监测

An early prediction model for preeclampsia was developed with the use of machine learning methods that analyzed all available clinical and laboratory data during routine prenatal visits. Using the ela

Immunology Database and Analysis Portal2025-10-30 更新10

Data Sheet 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.docx

子痫前期风险预测

核糖体生物发生标志物

BackgroundPreeclampsia, a hypertensive disorder during pregnancy affecting 2-8% of pregnancies globally, remains a leading cause of maternal and fetal morbidity. Current diagnostic reliance on late-on

NIAID Data Ecosystem00

Discriminatory accuracy of the multiple model at different cut-off of the predicted preeclampsia probability in multiparous and in primiparous women.

子痫前期风险预测

产科模型验证

Discriminatory accuracy of the multiple model at different cut-off of the predicted preeclampsia probability in multiparous and in primiparous women.

Figshare2017-05-26 更新20

Variables included in the pre-specified model and the corresponding similar variables included in the Fetal Medicine Foundation’s (FMF) model with maternal characteristics and mean arterial pressure for nulliparous women.

子痫前期风险预测

妊娠期高血压

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