Identification of AKI signatures and classification patterns in ccRCC based on machine learning

Identification of AKI signatures and classification patterns in ccRCC based on machine learning

BackgroundAcute kidney injury can be mitigated if detected early. There are limited biomarkers for predicting acute kidney injury (AKI). In this study, we used public databases with machine learning algorithms to identify novel biomarkers to predict AKI. In addition, the interaction between AKI and...

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Bibliographic Details
Main Authors: Li Wang, Fei Peng, Zhen Hua Li, Yu Fei Deng, Meng Na Ruan, Zhi Guo Mao, Lin Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Medicine
Subjects:
acute kidney injury
machine learning
molecular subtypes
immunity
clear cell renal cell carcinoma
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1195678/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1195678/full

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