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Published on: November 11, 2014
Identification of key transcription factors in preeclampsia
Junhu Wang1, Huijie Liu1, Yunxia Guo1
1Department of Obstetrics, The 2nd People's Hospital of Liaocheng , Liaocheng , China.
Abstract:
Objective: 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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