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Identification of AGXT2, SHMT1, and ACO2 as important biomarkers of acute kidney injury by WGCNA
Acute kidney injury (AKI) is a serious and frequently observed disease associated with high morbidity and mortality. Weighted gene co-expression network analysis (WGCNA) is a research method that converts the relationship between tens of thousands of genes and phenotypes into the association between...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897545/ https://www.ncbi.nlm.nih.gov/pubmed/36735737 http://dx.doi.org/10.1371/journal.pone.0281439 |