A cost-effective machine learning-based method for preeclampsia risk assessment and driver genes discovery

BACKGROUND: The placenta, as a unique exchange organ between mother and fetus, is essential for successful human pregnancy and fetal health. Preeclampsia (PE) caused by placental dysfunction contributes to both maternal and infant morbidity and mortality. Accurate identification of PE patients plays...

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Detalles Bibliográficos
Autores principales: Wang, Hao, Zhang, Zhaoyue, Li, Haicheng, Li, Jinzhao, Li, Hanshuang, Liu, Mingzhu, Liang, Pengfei, Xi, Qilemuge, Xing, Yongqiang, Yang, Lei, Zuo, Yongchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972636/
https://www.ncbi.nlm.nih.gov/pubmed/36849879
http://dx.doi.org/10.1186/s13578-023-00991-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972636/
https://www.ncbi.nlm.nih.gov/pubmed/36849879
http://dx.doi.org/10.1186/s13578-023-00991-y

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