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Machine learning algorithm-based identification and verification of characteristic genes in acute kidney injury
BACKGROUND: Acute kidney injury is a common renal disease with high incidence and mortality. Early identification of high-risk acute renal injury patients following renal transplant could improve their prognosis, however, no biomarker exists for early detection. METHODS: The GSE139061 dataset was us...
Autores principales: | Li, Yinghao, Du, Yiwei, Zhang, Yanlong, Chen, Chao, Zhang, Jian, Zhang, Xin, Zhang, Min, Yan, Yong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606399/ https://www.ncbi.nlm.nih.gov/pubmed/36313991 http://dx.doi.org/10.3389/fmed.2022.1016459 |
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