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...

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Detalles Bibliográficos
Autores principales: Li, Yinghao, Du, Yiwei, Zhang, Yanlong, Chen, Chao, Zhang, Jian, Zhang, Xin, Zhang, Min, Yan, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
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

Internet

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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