Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms

Background: Interstitial fibrosis and tubular atrophy (IFTA) are the histopathological manifestations of chronic kidney disease (CKD) and one of the causes of long-term renal loss in transplanted kidneys. Necroptosis as a type of programmed death plays an important role in the development of IFTA, a...

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Detalles Bibliográficos
Autores principales: Yin, Yu, Chen, Congcong, Zhang, Dong, Han, Qianguang, Wang, Zijie, Huang, Zhengkai, Chen, Hao, Sun, Li, Fei, Shuang, Tao, Jun, Han, Zhijian, Tan, Ruoyun, Gu, Min, Ju, Xiaobing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646529/
https://www.ncbi.nlm.nih.gov/pubmed/38028591
http://dx.doi.org/10.3389/fgene.2023.1276963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646529/
https://www.ncbi.nlm.nih.gov/pubmed/38028591
http://dx.doi.org/10.3389/fgene.2023.1276963

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