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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
D.A. Spandidos
2019
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| Materias: | |
| 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 |