Prediction of Differentially Expressed Genes and a Diagnostic Signature of Preeclampsia via Integrated Bioinformatics Analysis

BACKGROUND: Preeclampsia (PE), which has a high incidence rate worldwide, is a potentially dangerous syndrome to pregnant women and newborns. However, the exact mechanism of its pathogenesis is still unclear. In this study, we used bioinformatics analysis to identify hub genes, establish a logistic...

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Detalles Bibliográficos
Autores principales: Huang, Shan, Cai, Shuangming, Li, Huibin, Zhang, Wenni, Xiao, Huanshun, Yu, Danfeng, Zhong, Xuan, Tao, Pei, Luo, Yiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197614/
https://www.ncbi.nlm.nih.gov/pubmed/35711567
http://dx.doi.org/10.1155/2022/5782637

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197614/
https://www.ncbi.nlm.nih.gov/pubmed/35711567
http://dx.doi.org/10.1155/2022/5782637

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