Abstract
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
Author supplied keywords
Cite
CITATION STYLE
APA
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
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
Already have an account? Sign in
Sign up for free