Identification and verification of diagnostic biomarkers based on mitochondria-related genes related to immune microenvironment for preeclampsia using machine learning algorithms

Abstract excerpt

Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality worldwide. Preeclampsia is linked to mitochondrial dysfunction as a contributing factor in its progression. This study aimed to develop a novel diagnostic model based on mitochondria-related genes(MRGs) for preeclampsia using machine learning and further investigate the association of the MRGs and immune infiltration landscape...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Circular RNAs in diseases
• Share to MicroRNA in disease regulation
• Share to Pregnancy and preeclampsia studies