Abstract
ABSTRACTObjective: The aim of this study was to identify important transcription factors (TFs) in preeclampsia.Methods: Fisher’s test was applied to identify differentially expressed pathways. Functional principal component analysis (FPCA) was applied to identify differential expressed genes (DEGs). Topological characterizations of TFs were analyzed to identify key TFs.Results: From the DEG group, 37 genes were identified as TFs, and a total of 10 significant TFs with adjusted p<0.05 were identified. A total of 17 key TFs were identified from the TF network.Conclusions: Seventeen key TFs were identified, which may provide new insights into the mechanism of preeclampsia.
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