Early prediction and longitudinal modeling of preeclampsia from multiomics

Preeclampsia is a complex disease of pregnancy whose physiopathology remains unclear. We developed machine-learning models for early prediction of preeclampsia (first 16 weeks of pregnancy) and over gestation by analyzing six omics datasets from a longitudinal cohort of pregnant women. For early pre...

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Detalles Bibliográficos
Autores principales: Marić, Ivana, Contrepois, Kévin, Moufarrej, Mira N., Stelzer, Ina A., Feyaerts, Dorien, Han, Xiaoyuan, Tang, Andy, Stanley, Natalie, Wong, Ronald J., Traber, Gavin M., Ellenberger, Mathew, Chang, Alan L., Fallahzadeh, Ramin, Nassar, Huda, Becker, Martin, Xenochristou, Maria, Espinosa, Camilo, De Francesco, Davide, Ghaemi, Mohammad S., Costello, Elizabeth K., Culos, Anthony, Ling, Xuefeng B., Sylvester, Karl G., Darmstadt, Gary L., Winn, Virginia D., Shaw, Gary M., Relman, David A., Quake, Stephen R., Angst, Martin S., Snyder, Michael P., Stevenson, David K., Gaudilliere, Brice, Aghaeepour, Nima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768681/
https://www.ncbi.nlm.nih.gov/pubmed/36569558
http://dx.doi.org/10.1016/j.patter.2022.100655

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768681/
https://www.ncbi.nlm.nih.gov/pubmed/36569558
http://dx.doi.org/10.1016/j.patter.2022.100655

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