Investigation of optimal pathways for preeclampsia using network-based guilt by association algorithm

This study investigated optimal pathways for preeclampsia (PE) utilizing the network-based guilt by association (GBA) algorithm. The inference method consisted of four steps: preparing differentially expressed genes (DEGs) between PE patients and normal controls from gene expression data; constructi...

Descripción completa

Detalles Bibliográficos
Autores principales: Ruan, Yan, Li, Yuan, Liu, Yingping, Zhou, Jianxin, Wang, Xin, Zhang, Weiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447911/
https://www.ncbi.nlm.nih.gov/pubmed/30988790
http://dx.doi.org/10.3892/etm.2019.7410

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447911/
https://www.ncbi.nlm.nih.gov/pubmed/30988790
http://dx.doi.org/10.3892/etm.2019.7410

Ejemplares similares