Background: This study explored underlying gene signatures of low birth weight (LBW) by analyzing differentially expressed genes (DEGs) between LBW and normal birth weight (NBW) subjects. Methods: Subjects with different birth weight was collected from GEO database. P
CITATION STYLE
Zhou, F., Cheng, T., Xing, Y., Ma, H., & Yang, L. (2022). Network exploration of gene signatures underlying low birth weight induced metabolic alterations. Medicine (United States), 101(43), E31489. https://doi.org/10.1097/MD.0000000000031489
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